../../Scripts/transformers-cli.exe,sha256=EHjmtOBYsDqnQ_ycl3nciFzb-TCK52CdHPRI_SSLn60,108445
transformers-4.31.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
transformers-4.31.0.dist-info/LICENSE,sha256=d_1HEN757DwPYiWADgI18VpCWr1KiwNVkSf814JhIEk,11418
transformers-4.31.0.dist-info/METADATA,sha256=BShn7tDn1BvjSPXXFtBRCiLwIGoyDitlCv-kOFRAU_Q,116248
transformers-4.31.0.dist-info/RECORD,,
transformers-4.31.0.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers-4.31.0.dist-info/WHEEL,sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A,92
transformers-4.31.0.dist-info/direct_url.json,sha256=7WI6LQWTOB0WmM2Q9d3GdXclSoitwevLmqFJ3xN2f2E,92
transformers-4.31.0.dist-info/entry_points.txt,sha256=kgdW_0F_tXNrWKSZXKWKeUD_LqVgcji9j7atGXve8z4,81
transformers-4.31.0.dist-info/top_level.txt,sha256=GLBaeTo_CSdhnHvbxQ0kzpEHdlLuA_33foIogaWxntI,13
transformers/__init__.py,sha256=c1jJrgN7vsEraMbmt3b3LTUKNbYHsZ1LsYwSdhKHdX4,280084
transformers/__pycache__/__init__.cpython-38.pyc,,
transformers/__pycache__/activations.cpython-38.pyc,,
transformers/__pycache__/activations_tf.cpython-38.pyc,,
transformers/__pycache__/audio_utils.cpython-38.pyc,,
transformers/__pycache__/configuration_utils.cpython-38.pyc,,
transformers/__pycache__/convert_graph_to_onnx.cpython-38.pyc,,
transformers/__pycache__/convert_pytorch_checkpoint_to_tf2.cpython-38.pyc,,
transformers/__pycache__/convert_slow_tokenizer.cpython-38.pyc,,
transformers/__pycache__/convert_slow_tokenizers_checkpoints_to_fast.cpython-38.pyc,,
transformers/__pycache__/convert_tf_hub_seq_to_seq_bert_to_pytorch.cpython-38.pyc,,
transformers/__pycache__/debug_utils.cpython-38.pyc,,
transformers/__pycache__/deepspeed.cpython-38.pyc,,
transformers/__pycache__/dependency_versions_check.cpython-38.pyc,,
transformers/__pycache__/dependency_versions_table.cpython-38.pyc,,
transformers/__pycache__/dynamic_module_utils.cpython-38.pyc,,
transformers/__pycache__/feature_extraction_sequence_utils.cpython-38.pyc,,
transformers/__pycache__/feature_extraction_utils.cpython-38.pyc,,
transformers/__pycache__/file_utils.cpython-38.pyc,,
transformers/__pycache__/generation_flax_utils.cpython-38.pyc,,
transformers/__pycache__/generation_tf_utils.cpython-38.pyc,,
transformers/__pycache__/generation_utils.cpython-38.pyc,,
transformers/__pycache__/hf_argparser.cpython-38.pyc,,
transformers/__pycache__/hyperparameter_search.cpython-38.pyc,,
transformers/__pycache__/image_processing_utils.cpython-38.pyc,,
transformers/__pycache__/image_transforms.cpython-38.pyc,,
transformers/__pycache__/image_utils.cpython-38.pyc,,
transformers/__pycache__/integrations.cpython-38.pyc,,
transformers/__pycache__/keras_callbacks.cpython-38.pyc,,
transformers/__pycache__/modelcard.cpython-38.pyc,,
transformers/__pycache__/modeling_flax_outputs.cpython-38.pyc,,
transformers/__pycache__/modeling_flax_pytorch_utils.cpython-38.pyc,,
transformers/__pycache__/modeling_flax_utils.cpython-38.pyc,,
transformers/__pycache__/modeling_outputs.cpython-38.pyc,,
transformers/__pycache__/modeling_tf_outputs.cpython-38.pyc,,
transformers/__pycache__/modeling_tf_pytorch_utils.cpython-38.pyc,,
transformers/__pycache__/modeling_tf_utils.cpython-38.pyc,,
transformers/__pycache__/modeling_utils.cpython-38.pyc,,
transformers/__pycache__/optimization.cpython-38.pyc,,
transformers/__pycache__/optimization_tf.cpython-38.pyc,,
transformers/__pycache__/processing_utils.cpython-38.pyc,,
transformers/__pycache__/pytorch_utils.cpython-38.pyc,,
transformers/__pycache__/testing_utils.cpython-38.pyc,,
transformers/__pycache__/tf_utils.cpython-38.pyc,,
transformers/__pycache__/time_series_utils.cpython-38.pyc,,
transformers/__pycache__/tokenization_utils.cpython-38.pyc,,
transformers/__pycache__/tokenization_utils_base.cpython-38.pyc,,
transformers/__pycache__/tokenization_utils_fast.cpython-38.pyc,,
transformers/__pycache__/trainer.cpython-38.pyc,,
transformers/__pycache__/trainer_callback.cpython-38.pyc,,
transformers/__pycache__/trainer_pt_utils.cpython-38.pyc,,
transformers/__pycache__/trainer_seq2seq.cpython-38.pyc,,
transformers/__pycache__/trainer_tf.cpython-38.pyc,,
transformers/__pycache__/trainer_utils.cpython-38.pyc,,
transformers/__pycache__/training_args.cpython-38.pyc,,
transformers/__pycache__/training_args_seq2seq.cpython-38.pyc,,
transformers/__pycache__/training_args_tf.cpython-38.pyc,,
transformers/activations.py,sha256=N0UOnVQ67wSV7Wem_SAX22OTjpmVqiz_FsebRTO6EL0,8783
transformers/activations_tf.py,sha256=7a5YnB453-8r-gcxZjTt1RIEZJeZnhTHNpSznDsDgUA,4313
transformers/audio_utils.py,sha256=i7WmhRS4zhOP9XW_5G81kxP4VqGGff6struSfI7sD7g,30876
transformers/benchmark/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/benchmark/__pycache__/__init__.cpython-38.pyc,,
transformers/benchmark/__pycache__/benchmark.cpython-38.pyc,,
transformers/benchmark/__pycache__/benchmark_args.cpython-38.pyc,,
transformers/benchmark/__pycache__/benchmark_args_tf.cpython-38.pyc,,
transformers/benchmark/__pycache__/benchmark_args_utils.cpython-38.pyc,,
transformers/benchmark/__pycache__/benchmark_tf.cpython-38.pyc,,
transformers/benchmark/__pycache__/benchmark_utils.cpython-38.pyc,,
transformers/benchmark/benchmark.py,sha256=q2Jk1RyHOtzNe7vDSVjkL9Kf1jkMiGZsJPDmsACnxxY,10752
transformers/benchmark/benchmark_args.py,sha256=YcLN181cLE8KTNxPFIaZx1qQEi839I5bQkJFb6FSaN8,3890
transformers/benchmark/benchmark_args_tf.py,sha256=bAcsgf7bOUyoo8AGFSiQhciR8S5wMJqnL5iVlvbQzow,4735
transformers/benchmark/benchmark_args_utils.py,sha256=CdoaDLVnLd3rpI-wJOh4bd1cZOFPglm3q0C5CvJOdk4,6475
transformers/benchmark/benchmark_tf.py,sha256=aEjclKepsQhn6vjxVJ5l2ho0ptUJuvaSYfuP4rJE6MQ,13251
transformers/benchmark/benchmark_utils.py,sha256=f9fv_EF1GwfK6A9wS6O-AYDrjI_cBflTbffL32iFTY0,37600
transformers/commands/__init__.py,sha256=aFO3I7C6G9OLA9JZSc_yMaZl0glOQtjNPjqMFfu9wfQ,923
transformers/commands/__pycache__/__init__.cpython-38.pyc,,
transformers/commands/__pycache__/add_new_model.cpython-38.pyc,,
transformers/commands/__pycache__/add_new_model_like.cpython-38.pyc,,
transformers/commands/__pycache__/convert.cpython-38.pyc,,
transformers/commands/__pycache__/download.cpython-38.pyc,,
transformers/commands/__pycache__/env.cpython-38.pyc,,
transformers/commands/__pycache__/lfs.cpython-38.pyc,,
transformers/commands/__pycache__/pt_to_tf.cpython-38.pyc,,
transformers/commands/__pycache__/run.cpython-38.pyc,,
transformers/commands/__pycache__/serving.cpython-38.pyc,,
transformers/commands/__pycache__/train.cpython-38.pyc,,
transformers/commands/__pycache__/transformers_cli.cpython-38.pyc,,
transformers/commands/__pycache__/user.cpython-38.pyc,,
transformers/commands/add_new_model.py,sha256=H8_UkJ8TYyC8sEMqE4Iu-Izq3lJi93l813oU-LI2XyY,11062
transformers/commands/add_new_model_like.py,sha256=mbVtG53IkpPND5jMr_mhx-sHZVAqENus6nULWb2r2Bo,70933
transformers/commands/convert.py,sha256=3lm3Dc3oO5tDx7CPXLbm1r_rJT8ifAnM66mWaY_9PI0,7852
transformers/commands/download.py,sha256=GKPadx-YGBL7dHJSEcUp-QNOP3R2L71-gPGP0z6NNQI,2395
transformers/commands/env.py,sha256=q21O011lwdgGX862xAxH1Pjhd53uuxgB3g6C8cfNGV4,5316
transformers/commands/lfs.py,sha256=4QDGBbJxBcRpgmhHXvigZQUsXuTPwrRY60t1qGjzfWU,8001
transformers/commands/pt_to_tf.py,sha256=qVXHzdjjik3n_y8Ci8A6Wg6ag0eX0T6Dj36-sSv18Xg,20540
transformers/commands/run.py,sha256=nyEe2lOoj6e0EOxjKeF08hdW9WVWa101r9hWXl9v3Jo,4249
transformers/commands/serving.py,sha256=rx11I-zdrbl572aIGsp7NpiC4ljJiJWehMhm6hnnQW8,8026
transformers/commands/train.py,sha256=_Pp7unAWcFiNDAoXpVGe1D-OdFDjeZmbnkemACaCauQ,6329
transformers/commands/transformers_cli.py,sha256=QimzKwJXAzZ9da0NDFrupqnATqP8MQ7upoj9TspwnKA,2047
transformers/commands/user.py,sha256=t35-l945UBen5uYR_KsbhtNOqdHXrfdpHrhTbR3-YXc,7124
transformers/configuration_utils.py,sha256=REUDlob8mzrGz1wGuoaBeSVBdygEaPFGcmN6idaqDGQ,51981
transformers/convert_graph_to_onnx.py,sha256=qHIXclgeJWxKHXUSRzXhNp01UTNWWA6_ifM5C8W59_M,20903
transformers/convert_pytorch_checkpoint_to_tf2.py,sha256=QkU6fSbDMc4MQhNE4cv4xk9MBI2TGnC42ym9d9dAYyo,16631
transformers/convert_slow_tokenizer.py,sha256=8PD8GCUducOyJRHral-ZoGmxAwFIxsNi7hULpp02gzE,52391
transformers/convert_slow_tokenizers_checkpoints_to_fast.py,sha256=mIX3e0r7Dci5lahBf0iO4C2rvj0OzwkJbmw5lmgiG0Q,4982
transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py,sha256=LHDZoAwfslnHT74gNbiW2GmYim89tPtKm4HQsxxyeck,2899
transformers/data/__init__.py,sha256=JWIY7GLKedWilK2mpd_qtVeXLQK2ZXki6ISkRUua09Y,1423
transformers/data/__pycache__/__init__.cpython-38.pyc,,
transformers/data/__pycache__/data_collator.cpython-38.pyc,,
transformers/data/data_collator.py,sha256=PBQSIpa2X8sW611cqdmwNyWDXSXCQ-4LWvJF1uhVoFI,76870
transformers/data/datasets/__init__.py,sha256=PGzUJjdmTPOPMyjV4-Tj3sNrmmh-lspjyxrVbrfJoX8,909
transformers/data/datasets/__pycache__/__init__.cpython-38.pyc,,
transformers/data/datasets/__pycache__/glue.cpython-38.pyc,,
transformers/data/datasets/__pycache__/language_modeling.cpython-38.pyc,,
transformers/data/datasets/__pycache__/squad.cpython-38.pyc,,
transformers/data/datasets/glue.py,sha256=K3h2KxjIg0kWegPCw6ikbOL-lCFbKoQewb7R8wLZoIc,6163
transformers/data/datasets/language_modeling.py,sha256=E-VGwuyb09J4KmV8v37bNH5in90wDPuZHCYsqGdT7W0,23721
transformers/data/datasets/squad.py,sha256=OUTQDd687SQns7HRWDCgAjnuo_ZXihifLS6jF2bhUhc,9219
transformers/data/metrics/__init__.py,sha256=o9t_VTQtqU3lEhqvocDzFMm7OvAKD-uxrjPWy0r74BI,3632
transformers/data/metrics/__pycache__/__init__.cpython-38.pyc,,
transformers/data/metrics/__pycache__/squad_metrics.cpython-38.pyc,,
transformers/data/metrics/squad_metrics.py,sha256=pMwqcTg9KnCvmhLzAy1VJHRgJOEx6lLD105d-JcnWfg,29698
transformers/data/processors/__init__.py,sha256=lvN5mp9mdrr5v6QvZT6VcoZ78zZUvXiumTm6Gdvlgvo,1014
transformers/data/processors/__pycache__/__init__.cpython-38.pyc,,
transformers/data/processors/__pycache__/glue.cpython-38.pyc,,
transformers/data/processors/__pycache__/squad.cpython-38.pyc,,
transformers/data/processors/__pycache__/utils.cpython-38.pyc,,
transformers/data/processors/__pycache__/xnli.cpython-38.pyc,,
transformers/data/processors/glue.py,sha256=hhY12jdX1WnZ3_E3vSv-0rmF53F56c_2gQeW8dTwYb4,23219
transformers/data/processors/squad.py,sha256=_4WNLcZA6TAy7uNZO46948tmL5ngVF0LSB0y8nUn6rs,33153
transformers/data/processors/utils.py,sha256=GSaZbJ--XYq57vqyRVx_5LHSR4tklzFyR7ZKHGWsTAs,13829
transformers/data/processors/xnli.py,sha256=i03-c8vaQVYKpR7r4B8PsF6_CXXHxB7N-YHdzxs-APU,3489
transformers/debug_utils.py,sha256=6q8ArB104GdcIC2qfBQzKLxO7PfXmHEKdYtfL2FOK2w,12907
transformers/deepspeed.py,sha256=PbI-LXaZxqsg29fUaV0nD1-Fz2WVZt1tOMBdyOg4XtA,16966
transformers/dependency_versions_check.py,sha256=6HbgtT2Wp-QZGOAdyUOklHvNA4rOVITGHrX34dtMOqg,2115
transformers/dependency_versions_table.py,sha256=kunDmGSY2GOPuaaeMML6K7TnYge9yKie-DX3I1CC-NI,3167
transformers/dynamic_module_utils.py,sha256=3vS-lgUBKVQ9m29KryJX7g4cWjuxVKw4Wsz9dqOhZPo,24465
transformers/feature_extraction_sequence_utils.py,sha256=dPKvTC29tNn8xK_dxZSeDbhNRK2s8VHu2EZIEKesEAs,18307
transformers/feature_extraction_utils.py,sha256=f8HbardED_FcahBOILhsNfBXy5LEHSUEERctsLT36bY,28174
transformers/file_utils.py,sha256=oWG5qRanBn3uZIFVTxiNrxs4UVAEgQA4k3w9Fe_dHMY,3574
transformers/generation/__init__.py,sha256=l_-rnIxk8DPYtRwAKnRbvOCi90EO3MXBJA6t9jxGZjw,9515
transformers/generation/__pycache__/__init__.cpython-38.pyc,,
transformers/generation/__pycache__/beam_constraints.cpython-38.pyc,,
transformers/generation/__pycache__/beam_search.cpython-38.pyc,,
transformers/generation/__pycache__/configuration_utils.cpython-38.pyc,,
transformers/generation/__pycache__/flax_logits_process.cpython-38.pyc,,
transformers/generation/__pycache__/flax_utils.cpython-38.pyc,,
transformers/generation/__pycache__/logits_process.cpython-38.pyc,,
transformers/generation/__pycache__/stopping_criteria.cpython-38.pyc,,
transformers/generation/__pycache__/streamers.cpython-38.pyc,,
transformers/generation/__pycache__/tf_logits_process.cpython-38.pyc,,
transformers/generation/__pycache__/tf_utils.cpython-38.pyc,,
transformers/generation/__pycache__/utils.cpython-38.pyc,,
transformers/generation/beam_constraints.py,sha256=Ckzx6Dy-FwsZxrLcpktKLxfv3TMeHDI9dWeGqxiKvco,19089
transformers/generation/beam_search.py,sha256=DK7SOkZ48CybaNynDKm2jCwSO5k7AuNoxBoSuX9yqhA,45955
transformers/generation/configuration_utils.py,sha256=wrCKJyzwnSZsaE4qznhpixwENnbCs8K1FKRc30vnYV4,40270
transformers/generation/flax_logits_process.py,sha256=IPV5RSCC52bzTM41WymDCorTOYDA8b3ZnMD56iqoXLU,19218
transformers/generation/flax_utils.py,sha256=xSfvoJqzJiwS-CbnbIVFZeTu7xWDUlmom31CshzpMdk,49096
transformers/generation/logits_process.py,sha256=i0g2J8fOcvhN7KDB8T46hfTLC50DLExa2beELrZZt_4,56335
transformers/generation/stopping_criteria.py,sha256=8DbyhUIsgZc9jc27CpSiJZMCRcTbdRkl1QPvfek6Nyw,6373
transformers/generation/streamers.py,sha256=MjBAILDIQW_cxzPTikEK2q2MAdrafqia8P5Dsn82WaI,9145
transformers/generation/tf_logits_process.py,sha256=-1-PFNvZI7ZG0THWroyjLmeq4KJ_IxeoGSxj-RQm_Ds,28136
transformers/generation/tf_utils.py,sha256=aBs2IyJVm-Utk5poL13gTi0D70vG726Z4wJKZmVmMTo,177964
transformers/generation/utils.py,sha256=BI7g8x99G1CT-GXbDk6VmSosPl19u9-dDmj57pkCZPA,252411
transformers/generation_flax_utils.py,sha256=4UcpPzqxiAT7GmkxIYbjZ99K1t6A4-7qvRUHWQWk0co,1118
transformers/generation_tf_utils.py,sha256=0yPmKpgmNyo2RLMbn_gorpinY2H1sOeEZ4GiDhyMPqk,1109
transformers/generation_utils.py,sha256=JYoVUAmmI1ubdJkRGODnJAE8q3oVt2RGDMl5MXlFt4Q,1126
transformers/hf_argparser.py,sha256=Ah91LzoTwRPuWxONLFmPxDC8DGcUK_ebghoCQV2xNu8,19745
transformers/hyperparameter_search.py,sha256=NqLPvz4yaELwWmoWyhUXhPy5mYcHbyhMtRNAWrFcHPw,4161
transformers/image_processing_utils.py,sha256=IGPVAIwv5CxvqGKPHXcS7YBu8NHEzRhJwiLpdwhKsuA,26885
transformers/image_transforms.py,sha256=yMp1CGNJ2Igzk4CwWI8nAR60qcBHLhyLBHpBYSEQsmc,30982
transformers/image_utils.py,sha256=irK693iRAub40XWrHbGGq8OAz1qhRWIfrG7NfDbBFQU,24006
transformers/integrations.py,sha256=pB8L31iYxcAmjqgStRHMbxenHkv7If3J08b10_M94QE,71574
transformers/keras_callbacks.py,sha256=Phe4--gL3lzXaGvQsfKzAkX1zkkbkedyAev4OCIY6zU,20843
transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.cpp,sha256=VcCGm9IrvgVvmyZt0KyP16Q-ONmbeg6bKwccP6KadL0,1255
transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.h,sha256=nvVsKj9nabQ7IaNY4di5xVx6u-0lIifQvLg2JCoxiik,1138
transformers/kernels/deformable_detr/cuda/ms_deform_attn_cuda.cu,sha256=M5-bW9g5z-upTFMNPIfnyLAqKTxGMCjAPqBr0GmWHX8,7360
transformers/kernels/deformable_detr/cuda/ms_deform_attn_cuda.cuh,sha256=hygB20Vh3RttOSdCuTFz8V0d3CXNp-Q89x22rYmD258,61433
transformers/kernels/deformable_detr/cuda/ms_deform_attn_cuda.h,sha256=rPWOOMo3QyFdB5kMiexpApLFZ4dnRtx4CluEAGwsfO8,1139
transformers/kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh,sha256=BRN8-yfSHY8ChLij8jFl2_z2LL0LEFKuVF6Byi-YLAY,54695
transformers/kernels/deformable_detr/ms_deform_attn.h,sha256=H2bBXGyl0R-v2DqGVz11asoRvxbjZ9iWB9djomZTpgY,1837
transformers/kernels/deformable_detr/vision.cpp,sha256=8RvZy7P_MMx5QEszo_MwNODddJLQ8mKcmmMfgLYC_HA,798
transformers/kernels/mra/cuda_kernel.cu,sha256=LxxRYTymSoBEQpWXHA0PMzwZwpolcwX7mFAjwU8-ZMc,11678
transformers/kernels/mra/cuda_kernel.h,sha256=UJvYq_MDzhcp07bZpYcOBn8ZGFcf_Ax1dynuiVTBvmA,1682
transformers/kernels/mra/cuda_launch.cu,sha256=Ox5MTACriC30CGyn-g1Kb5EgQSMAZSaN6fpit3xLFWc,4072
transformers/kernels/mra/cuda_launch.h,sha256=RVCkN_euasvgPK0zADNRvRYGWd4ah5l9X-7UG_AcdH8,707
transformers/kernels/mra/torch_extension.cpp,sha256=N0YdBLVX0lZabckJzV_RYTHS2atCNvn13E4Ivobt25g,1405
transformers/kernels/rwkv/wkv_cuda.cu,sha256=EvaUrEnw_qr2EjMKP-Pq7VPzFfGlMJnFhdHNLtn1fPU,6219
transformers/kernels/rwkv/wkv_cuda_bf16.cu,sha256=DG9hTtOAlrnpDFahjt-MmnOxjMuhGU55GPsmV21HtrQ,6633
transformers/kernels/rwkv/wkv_op.cpp,sha256=qSExhKdT6p3hyaTv5SypCnH_c7EmaX6HbhTcCntvZWg,4022
transformers/kernels/yoso/common.h,sha256=Tq2rOUtE8Y4DRAUrRISvwIwVI3u8JBf21WgWSAYiDlQ,273
transformers/kernels/yoso/common_cuda.h,sha256=Sji70AuVcuZSotLF7Gotmun9MJuOHo8wEkxizKXLRtc,258
transformers/kernels/yoso/common_cuda_device.h,sha256=y6WUgAiapnMKqthRMS5s-DMSWNVkar_i8g4KPFvqiuk,2063
transformers/kernels/yoso/fast_lsh_cumulation.cu,sha256=LA4LGNgyXT3osIyQtFBcRanSyNQWm8yqmpz7AeLP7cw,19061
transformers/kernels/yoso/fast_lsh_cumulation.h,sha256=1cTWZjOm751HGiEB5P-UPJ8SE1VO7XRyXmBgyxYDyjI,1575
transformers/kernels/yoso/fast_lsh_cumulation_cuda.cu,sha256=HKGLWl-WFz5BXjaAPHTNTbG6IUkJjhBdvFf2K7hrDVQ,32870
transformers/kernels/yoso/fast_lsh_cumulation_cuda.h,sha256=_KGI8HQbVFtCN5KAcSGpyiJ2foGi26RKen138CUc2fY,5490
transformers/kernels/yoso/fast_lsh_cumulation_torch.cpp,sha256=-Rh7o39Z3rtOPwNnEM-c51TCqywpVdK0WVaA7VRrXbQ,3154
transformers/modelcard.py,sha256=CduNE0XgVvro4rxOFKVouKAhnJRwxd7sVJ7YmIRuIg4,35232
transformers/modeling_flax_outputs.py,sha256=wXse1g9VyQyVOZ9DrbPALeoZBdS45fsBA9fNrGnwaZc,41961
transformers/modeling_flax_pytorch_utils.py,sha256=HVF2pae1fSBgRxCMJI91pzr7oPNbylRw3RjLE8v7wfM,19529
transformers/modeling_flax_utils.py,sha256=yYhBHmjM0LWeNufbT61lqYBQj4Mh3JOkTc9nC1EZZCY,56460
transformers/modeling_outputs.py,sha256=RZoARdNQIEIOQDHtJtZC06S66eq8tTH8DiQBuywMRAU,106127
transformers/modeling_tf_outputs.py,sha256=nXCMOmFZ7IZFVuiQr7EU2ciV9QqwOYPYld_r2jBxVpE,56074
transformers/modeling_tf_pytorch_utils.py,sha256=NALxfL5f2dRyJapO8niTArM6Hj_m2X1sN-hRsHUOofg,24778
transformers/modeling_tf_utils.py,sha256=e1BPzkGr9wQk79IuNXknonIcaI8yE0w4gbpeMauVYf4,160796
transformers/modeling_utils.py,sha256=Er0KxTnTOI3pN0OhWMOiMAfdNgqh7H11DgDh7hPUwsE,191119
transformers/models/__init__.py,sha256=zjmfdtlM7hLDx-JFWLyeHTGtCxWOUMinpAGmPnXCOCE,3569
transformers/models/__pycache__/__init__.cpython-38.pyc,,
transformers/models/albert/__init__.py,sha256=eXW8msH9V8No-Tb5R28tdpXQbOnnSG77L_TVEwCRf9o,5482
transformers/models/albert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/albert/__pycache__/configuration_albert.cpython-38.pyc,,
transformers/models/albert/__pycache__/convert_albert_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/albert/__pycache__/modeling_albert.cpython-38.pyc,,
transformers/models/albert/__pycache__/modeling_flax_albert.cpython-38.pyc,,
transformers/models/albert/__pycache__/modeling_tf_albert.cpython-38.pyc,,
transformers/models/albert/__pycache__/tokenization_albert.cpython-38.pyc,,
transformers/models/albert/__pycache__/tokenization_albert_fast.cpython-38.pyc,,
transformers/models/albert/configuration_albert.py,sha256=K6BRaSJjWUP8AxZsgev2BpB47bO1ee8YWfX1bEMmlqw,8568
transformers/models/albert/convert_albert_original_tf_checkpoint_to_pytorch.py,sha256=nTwtVg0AZgG4QnG9K361HM37gxGegQvD-ymZWuhic7s,2162
transformers/models/albert/modeling_albert.py,sha256=SmV02vJrSNuDbYikgqn3RjAtdrYEv5UAGXRgFvTBviI,60616
transformers/models/albert/modeling_flax_albert.py,sha256=CxozlrMdcC_2ZuNVX7FKTIkSTWEZkw35l_0zeEpgH10,40772
transformers/models/albert/modeling_tf_albert.py,sha256=CRwq_JKNBsPf6kT7nt-MleFp9jl-BV-agEvdr1BMvbQ,61857
transformers/models/albert/tokenization_albert.py,sha256=cHnWXwYBdYurqfNrOrUr03snZ3CRS9QesPqZE-Q6-WQ,15429
transformers/models/albert/tokenization_albert_fast.py,sha256=IN0nI80BYHxENeH9IzBA6i26vUmmxrf-1K64iVBax5A,10815
transformers/models/align/__init__.py,sha256=DWtMJsXbmRuoSAwLLOy6aXKY65IT1TDV4ifwBmApkM0,2064
transformers/models/align/__pycache__/__init__.cpython-38.pyc,,
transformers/models/align/__pycache__/configuration_align.cpython-38.pyc,,
transformers/models/align/__pycache__/convert_align_tf_to_hf.cpython-38.pyc,,
transformers/models/align/__pycache__/modeling_align.cpython-38.pyc,,
transformers/models/align/__pycache__/processing_align.cpython-38.pyc,,
transformers/models/align/configuration_align.py,sha256=mjChWgwKr9B_vjf1aQL6c0O4eSiZUHfn9dpzsGxko8I,18805
transformers/models/align/convert_align_tf_to_hf.py,sha256=ZQwIg6-U1lyyQkpXgyJzz4QUi5r0brLJC7OmEHdvxeY,15524
transformers/models/align/modeling_align.py,sha256=x-Qmo67_0tlj3f9pZo-hFk7OBd5Z3XLgHEP4DE_Fn_0,72060
transformers/models/align/processing_align.py,sha256=xuKyyR9ouKXWtDOr2VDspp_ciDVAhVUMgCwbBi_T0i0,6216
transformers/models/altclip/__init__.py,sha256=bvOH6rQhnWm4shjpJ51SPs0uxlDdPrViBxQqTt3gRik,2126
transformers/models/altclip/__pycache__/__init__.cpython-38.pyc,,
transformers/models/altclip/__pycache__/configuration_altclip.cpython-38.pyc,,
transformers/models/altclip/__pycache__/modeling_altclip.cpython-38.pyc,,
transformers/models/altclip/__pycache__/processing_altclip.cpython-38.pyc,,
transformers/models/altclip/configuration_altclip.py,sha256=TTJh0-PBjUS1O8B6QnWcSALofbGprGqahzk-tf1pT_k,19664
transformers/models/altclip/modeling_altclip.py,sha256=PH7hNhlIMxSOx4HoMdk5S94hk8Rgzw6MYVtRFr8MZMU,78788
transformers/models/altclip/processing_altclip.py,sha256=BOAhHTjEMlo-TZELk8dorO2ucCofS594YUNAQgTKRds,6477
transformers/models/audio_spectrogram_transformer/__init__.py,sha256=nWmQEkAYLTSJ6X9fxpvOGoTwzqZKSAcXx1CUj_7VABI,2507
transformers/models/audio_spectrogram_transformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/audio_spectrogram_transformer/__pycache__/configuration_audio_spectrogram_transformer.cpython-38.pyc,,
transformers/models/audio_spectrogram_transformer/__pycache__/convert_audio_spectrogram_transformer_original_to_pytorch.cpython-38.pyc,,
transformers/models/audio_spectrogram_transformer/__pycache__/feature_extraction_audio_spectrogram_transformer.cpython-38.pyc,,
transformers/models/audio_spectrogram_transformer/__pycache__/modeling_audio_spectrogram_transformer.cpython-38.pyc,,
transformers/models/audio_spectrogram_transformer/configuration_audio_spectrogram_transformer.py,sha256=UeH0S082YL97x4pPSNckqB8S9BPzUSFUb1x_1loKLhU,5650
transformers/models/audio_spectrogram_transformer/convert_audio_spectrogram_transformer_original_to_pytorch.py,sha256=Csn0NnGlPMLUehRWvgU1cW49EzTNZ7p0COxWNIqQIp8,11052
transformers/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.py,sha256=W-94tAyrqo3LgIurxN9BCKpmuiiiDsejZEMFddWA-M4,8614
transformers/models/audio_spectrogram_transformer/modeling_audio_spectrogram_transformer.py,sha256=tyD8HH7mCLx-8nXdJKAPFnqN2cOtD4u7vILOMfg7YRQ,26449
transformers/models/auto/__init__.py,sha256=qcgvxU_X0nz12-96SZ3i0zRiizsWrlsFJTIeWI-hVnw,15846
transformers/models/auto/__pycache__/__init__.cpython-38.pyc,,
transformers/models/auto/__pycache__/auto_factory.cpython-38.pyc,,
transformers/models/auto/__pycache__/configuration_auto.cpython-38.pyc,,
transformers/models/auto/__pycache__/feature_extraction_auto.cpython-38.pyc,,
transformers/models/auto/__pycache__/image_processing_auto.cpython-38.pyc,,
transformers/models/auto/__pycache__/modeling_auto.cpython-38.pyc,,
transformers/models/auto/__pycache__/modeling_flax_auto.cpython-38.pyc,,
transformers/models/auto/__pycache__/modeling_tf_auto.cpython-38.pyc,,
transformers/models/auto/__pycache__/processing_auto.cpython-38.pyc,,
transformers/models/auto/__pycache__/tokenization_auto.cpython-38.pyc,,
transformers/models/auto/auto_factory.py,sha256=0qhT34QQD9rmOIzd9aNnV2IX9qdQKaf6enbproMc4cc,40272
transformers/models/auto/configuration_auto.py,sha256=IHvwTMXMH9q4ejshPVs5hm-f6s-JtvU4epJ98uBpsf0,44519
transformers/models/auto/feature_extraction_auto.py,sha256=XAKqedqevqTTrXnQ5L6T_q97N8amQLqcCrk2akF4ePk,18500
transformers/models/auto/image_processing_auto.py,sha256=m8YMjvsDBDk7Oz5RJ6RDSUrj9XSYGku-5mXhKhzl4xE,19917
transformers/models/auto/modeling_auto.py,sha256=PQ2tf5hrSzZrt0qu5hJ15ehMxo4Q6Fpi5nSmsGEfnC0,57948
transformers/models/auto/modeling_flax_auto.py,sha256=6pSAC8sAfoyozQT5kx1HFsosXSFpkuJN9BSxrjFJZQM,14128
transformers/models/auto/modeling_tf_auto.py,sha256=5GxoP5fewQiaOVuq8NWjY_0uiOMIpTtLqSLaC7vgirc,27835
transformers/models/auto/processing_auto.py,sha256=q6U6hK_uPrdMJVZ4VA_IdFs5N0gpFpUELDMDDQHQ5gw,15236
transformers/models/auto/tokenization_auto.py,sha256=hNJiaC1dAgv6NIoo0b29rQc_LNDdPU0tC6rSqF5Gmjc,39830
transformers/models/autoformer/__init__.py,sha256=wNFDMEr-Yo9Bt33bP5qqiC5dWKXOnWQPFg4C_ewyfGU,1914
transformers/models/autoformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/autoformer/__pycache__/configuration_autoformer.cpython-38.pyc,,
transformers/models/autoformer/__pycache__/modeling_autoformer.cpython-38.pyc,,
transformers/models/autoformer/configuration_autoformer.py,sha256=b4mlIXj_yvi8SyGuY4oueq5K27pr8tNPvTJfsblcflU,12325
transformers/models/autoformer/modeling_autoformer.py,sha256=nHXLH14Sfzv_kYrk8QKhjjpXuBgOMeeBK8JB0SH0od0,109505
transformers/models/bark/__init__.py,sha256=o6hWj_LrFLp-JSNY04tbWewQyrA44B0mhLUDpyv4jVw,2212
transformers/models/bark/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bark/__pycache__/configuration_bark.cpython-38.pyc,,
transformers/models/bark/__pycache__/convert_suno_to_hf.cpython-38.pyc,,
transformers/models/bark/__pycache__/generation_configuration_bark.cpython-38.pyc,,
transformers/models/bark/__pycache__/modeling_bark.cpython-38.pyc,,
transformers/models/bark/__pycache__/processing_bark.cpython-38.pyc,,
transformers/models/bark/configuration_bark.py,sha256=_ImWrBCoo3e8ftW49WDwokqIgjMpymO18F3vGZqSwF8,13658
transformers/models/bark/convert_suno_to_hf.py,sha256=O1OYzKyTr-9snPYUAw09GmVwb76UmiQGi3C2WfEIwTw,9373
transformers/models/bark/generation_configuration_bark.py,sha256=KzRqRRRAZsBW8PG8wMGf6tpcRS9cqpSsiZX5iFRubQ8,14411
transformers/models/bark/modeling_bark.py,sha256=-GxKuwUs7GmNSPdQtk2WO__5cEQVXcFU2WkFGOuW0RQ,67781
transformers/models/bark/processing_bark.py,sha256=wFpA-OhMCimOfKNaUftSmXERdTtqQ4c4jljkkpA-_vA,13529
transformers/models/bart/__init__.py,sha256=xl4QTEjXPPSzXVANoTo3RGK1omWSwGgclWj1eSe41-8,4333
transformers/models/bart/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bart/__pycache__/configuration_bart.cpython-38.pyc,,
transformers/models/bart/__pycache__/convert_bart_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/bart/__pycache__/modeling_bart.cpython-38.pyc,,
transformers/models/bart/__pycache__/modeling_flax_bart.cpython-38.pyc,,
transformers/models/bart/__pycache__/modeling_tf_bart.cpython-38.pyc,,
transformers/models/bart/__pycache__/tokenization_bart.cpython-38.pyc,,
transformers/models/bart/__pycache__/tokenization_bart_fast.cpython-38.pyc,,
transformers/models/bart/configuration_bart.py,sha256=CFRzFV-BVXfNMziihX_41kidQkv5HkcuRMN8RlHTq2w,18993
transformers/models/bart/convert_bart_original_pytorch_checkpoint_to_pytorch.py,sha256=VIRm-jWP4PNWN0Japr8yCJAJAAPVkJpJmEzYnHexU88,6055
transformers/models/bart/modeling_bart.py,sha256=rMJweHtfHKzgY9WmvQRi0HK9PKg2umL8Wqng-VMemag,90105
transformers/models/bart/modeling_flax_bart.py,sha256=-z7XkJZ4BQ1dy2Y0q7IYeIbknUXDlTHSjraLV9Cgjg4,82723
transformers/models/bart/modeling_tf_bart.py,sha256=DRBHUi9_6b3aXGt-3UVtefLvYI4bceOLZSpRn0Gw68U,74717
transformers/models/bart/tokenization_bart.py,sha256=04Id8y-e-gi1L7QUXZ2KEUzzqwfuakAOhx4PzsYru84,17981
transformers/models/bart/tokenization_bart_fast.py,sha256=xpJAY1ogA85BmMPtPdPhmshbTWZ8pXGGwZdhc2PUimc,13812
transformers/models/barthez/__init__.py,sha256=7IXg6okZoJ10NCYRWn0GvoWWUvGUN27eIw7CzJ5CVGA,1848
transformers/models/barthez/__pycache__/__init__.cpython-38.pyc,,
transformers/models/barthez/__pycache__/tokenization_barthez.cpython-38.pyc,,
transformers/models/barthez/__pycache__/tokenization_barthez_fast.cpython-38.pyc,,
transformers/models/barthez/tokenization_barthez.py,sha256=rS_7iGzj8Erv1pDDKPJ_hevo3cDtzP0bO20_2J6TH1c,13193
transformers/models/barthez/tokenization_barthez_fast.py,sha256=pwLKpWhj3ngmFQZC6Oal8rlhAPlUzHR_j5fbs6d6YiE,8900
transformers/models/bartpho/__init__.py,sha256=Q0mAOPJGQaHHigdajLg5-2TPOw9NWw5uIRQlmfhh8Ds,1362
transformers/models/bartpho/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bartpho/__pycache__/tokenization_bartpho.cpython-38.pyc,,
transformers/models/bartpho/tokenization_bartpho.py,sha256=fmVAH-Wo839q0ko-L80Daj2UPBSLtsSyxMaN2vrgBC4,14219
transformers/models/beit/__init__.py,sha256=ftuLDdvB8BJclqEtBwmDGLwsM8docMeS45lyjoIRLSo,3289
transformers/models/beit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/beit/__pycache__/configuration_beit.cpython-38.pyc,,
transformers/models/beit/__pycache__/convert_beit_unilm_to_pytorch.cpython-38.pyc,,
transformers/models/beit/__pycache__/feature_extraction_beit.cpython-38.pyc,,
transformers/models/beit/__pycache__/image_processing_beit.cpython-38.pyc,,
transformers/models/beit/__pycache__/modeling_beit.cpython-38.pyc,,
transformers/models/beit/__pycache__/modeling_flax_beit.cpython-38.pyc,,
transformers/models/beit/configuration_beit.py,sha256=Z443ZNXb0C_g3u5XKRYADTciFZ-_AmwbhyI2APyG7pk,9641
transformers/models/beit/convert_beit_unilm_to_pytorch.py,sha256=KIlO0ZkBQMorF9iVcGmcUCc4mzRyj9ID0GkoZCJZwhs,16480
transformers/models/beit/feature_extraction_beit.py,sha256=C9wchKLt3K__wzqOkDWsbK0hMPzVn9HZtm5KPI5Oq2s,1172
transformers/models/beit/image_processing_beit.py,sha256=u3DzZE7Q1hhjCT-FlkrC2rn_ww7i2doQm1COWqPi0oY,24407
transformers/models/beit/modeling_beit.py,sha256=GFUAht_IQixN8A3-XnhTcYZJEsIaBbzVgPvZJKfiTl8,54268
transformers/models/beit/modeling_flax_beit.py,sha256=8eSqORIvtbygCNblBX8toYcgsy6pS0zJ900E_BJ776A,36989
transformers/models/bert/__init__.py,sha256=Tj3tueT-1FoWBmNNZXGGnytzeoLeEcjviP32uyfU1rw,6057
transformers/models/bert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bert/__pycache__/configuration_bert.cpython-38.pyc,,
transformers/models/bert/__pycache__/convert_bert_original_tf2_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/bert/__pycache__/convert_bert_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/bert/__pycache__/convert_bert_pytorch_checkpoint_to_original_tf.cpython-38.pyc,,
transformers/models/bert/__pycache__/convert_bert_token_dropping_original_tf2_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/bert/__pycache__/modeling_bert.cpython-38.pyc,,
transformers/models/bert/__pycache__/modeling_flax_bert.cpython-38.pyc,,
transformers/models/bert/__pycache__/modeling_tf_bert.cpython-38.pyc,,
transformers/models/bert/__pycache__/tokenization_bert.cpython-38.pyc,,
transformers/models/bert/__pycache__/tokenization_bert_fast.cpython-38.pyc,,
transformers/models/bert/__pycache__/tokenization_bert_tf.cpython-38.pyc,,
transformers/models/bert/configuration_bert.py,sha256=NrJhxTErqXkBIdYlna-VSBH50yBHTUUT7WuLwhWDz70,10150
transformers/models/bert/convert_bert_original_tf2_checkpoint_to_pytorch.py,sha256=niQmTMwlmUA0aII1Zzg2OiJSpFljzwLCeJYotJ4tKOY,10490
transformers/models/bert/convert_bert_original_tf_checkpoint_to_pytorch.py,sha256=Hq-TMOnQnfpZOh0m9GHoykkogg0-HgLAmSiFvK8E6K4,2159
transformers/models/bert/convert_bert_pytorch_checkpoint_to_original_tf.py,sha256=x3RYywp9Za8rgBAfcoLHFSwOcuhd4NM0RamrgXYCCj8,4098
transformers/models/bert/convert_bert_token_dropping_original_tf2_checkpoint_to_pytorch.py,sha256=5kYqUUc-RGck4D0OUTlLDnyIPb_OIJ1NWboYRJ-7H0c,7606
transformers/models/bert/modeling_bert.py,sha256=gACGm17pXvyGMAqgxGk2C1lNmXJ56jzFJGrSxoUE_tk,83947
transformers/models/bert/modeling_flax_bert.py,sha256=wW3l7ueLMAEGH-9enmXP6KCe6drU3RovUSCsAx-N-rA,63604
transformers/models/bert/modeling_tf_bert.py,sha256=9rJy3j9AS8wFR4fLbLFVDhPMGkzDmM2lJ7LBZvKuXiI,85690
transformers/models/bert/tokenization_bert.py,sha256=ArK_L98hfe8zUK_d9P4yyEIeiu1VEXZplgep4W35JXs,25078
transformers/models/bert/tokenization_bert_fast.py,sha256=GG8SxKdSMwpQLEKv_TbaU0fzxBUHX9n2S3ErtpT0vWU,14871
transformers/models/bert/tokenization_bert_tf.py,sha256=NhpOxzSyU7H8AnJEvvK8SoyTdCqAHenquXWz6tVr8hU,11798
transformers/models/bert_generation/__init__.py,sha256=2XUvSVePne5Hspjzn6l_PonKfZ9WXjRBub9bevOv8R4,2275
transformers/models/bert_generation/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bert_generation/__pycache__/configuration_bert_generation.cpython-38.pyc,,
transformers/models/bert_generation/__pycache__/modeling_bert_generation.cpython-38.pyc,,
transformers/models/bert_generation/__pycache__/tokenization_bert_generation.cpython-38.pyc,,
transformers/models/bert_generation/configuration_bert_generation.py,sha256=wVt1L7ifRQ5iLf4_lK0R-MppyOQThKHWwcpwUR4fWiA,6228
transformers/models/bert_generation/modeling_bert_generation.py,sha256=NnECZPZsVtfu6qNQOH-qQQyKO9ephey8NWk1dlA_XzU,47874
transformers/models/bert_generation/tokenization_bert_generation.py,sha256=nzZrp-BKXYkPNE9-7_nkkfIZyNRbtiiAKFuwB1-Z_pI,7140
transformers/models/bert_japanese/__init__.py,sha256=6prQNXS2J4cWXqAqkqDyxNmzx-vaFQtOjJQio-ZUc4g,1053
transformers/models/bert_japanese/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bert_japanese/__pycache__/tokenization_bert_japanese.cpython-38.pyc,,
transformers/models/bert_japanese/tokenization_bert_japanese.py,sha256=jAJhV-6uw8CPm4GL9dwaL-ELssdEKL9wdQA6Vt00I-A,40187
transformers/models/bertweet/__init__.py,sha256=sXE2NweoWp8UIaJkuSaLSw4EaSEzpWwBe3pegec_Kj0,959
transformers/models/bertweet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bertweet/__pycache__/tokenization_bertweet.cpython-38.pyc,,
transformers/models/bertweet/tokenization_bertweet.py,sha256=guRqkAHAlZKOwhdfdzD4py3fCK9YGigo6BwhImUOfHU,27220
transformers/models/big_bird/__init__.py,sha256=XaBDMkK9Dhqc9pVSqqn2xFCNYInFMsBpPOP8GZ0F04Q,4574
transformers/models/big_bird/__pycache__/__init__.cpython-38.pyc,,
transformers/models/big_bird/__pycache__/configuration_big_bird.cpython-38.pyc,,
transformers/models/big_bird/__pycache__/convert_bigbird_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/big_bird/__pycache__/modeling_big_bird.cpython-38.pyc,,
transformers/models/big_bird/__pycache__/modeling_flax_big_bird.cpython-38.pyc,,
transformers/models/big_bird/__pycache__/tokenization_big_bird.cpython-38.pyc,,
transformers/models/big_bird/__pycache__/tokenization_big_bird_fast.cpython-38.pyc,,
transformers/models/big_bird/configuration_big_bird.py,sha256=h6b9pHjDld-6p-Oarm8N2mfXH15AyGYYgYgBBTsMXVQ,8306
transformers/models/big_bird/convert_bigbird_original_tf_checkpoint_to_pytorch.py,sha256=Y75oSwtX-d2wwOSwLo6LlUlZ9uzSEVtWwzwiJYcrXyg,2493
transformers/models/big_bird/modeling_big_bird.py,sha256=nkMuY42bxNvuV4BnIzIs8SQ0_04oEbtxq0Kiv-4kyME,142285
transformers/models/big_bird/modeling_flax_big_bird.py,sha256=rAQXWH3jHH3H1oO4pAv06JZ7Tkkeji0yPsXsi1xl9Rg,109507
transformers/models/big_bird/tokenization_big_bird.py,sha256=YbLOIAbnRPGv_CvDvIzRhHwGCoGvbtNtDKJ9ElQ94gk,14885
transformers/models/big_bird/tokenization_big_bird_fast.py,sha256=wEIrKHIo2YQyZOSP9Gp3vD6U1UXBesIWtHlK6j57GDA,11355
transformers/models/bigbird_pegasus/__init__.py,sha256=lTnaYtQ3nRjYYND5G3wilFyh6VOOWlKjNXbsmJTo-A4,2316
transformers/models/bigbird_pegasus/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bigbird_pegasus/__pycache__/configuration_bigbird_pegasus.cpython-38.pyc,,
transformers/models/bigbird_pegasus/__pycache__/convert_bigbird_pegasus_tf_to_pytorch.cpython-38.pyc,,
transformers/models/bigbird_pegasus/__pycache__/modeling_bigbird_pegasus.cpython-38.pyc,,
transformers/models/bigbird_pegasus/configuration_bigbird_pegasus.py,sha256=GoaLQXUj-84GOq_sOoevp6jvPrE7Fm7w40wFlUq3150,19802
transformers/models/bigbird_pegasus/convert_bigbird_pegasus_tf_to_pytorch.py,sha256=Wc7aoNvtzxt-DPi655Kl30CgDgq_hp08psISb8dWpLU,6288
transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py,sha256=JFnAK25gtTk_NnYbBxvtBOgS7n7OX0mCmVohmroQMMM,147915
transformers/models/biogpt/__init__.py,sha256=dV4wh5lT3U-EYdvjCy6b9lI4Lr2zIN1RqSs6Rsuc6Sg,2058
transformers/models/biogpt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/biogpt/__pycache__/configuration_biogpt.cpython-38.pyc,,
transformers/models/biogpt/__pycache__/convert_biogpt_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/biogpt/__pycache__/modeling_biogpt.cpython-38.pyc,,
transformers/models/biogpt/__pycache__/tokenization_biogpt.cpython-38.pyc,,
transformers/models/biogpt/configuration_biogpt.py,sha256=Zvu6u58NMacO57lj1ViqZLUTECg2m8DaUrRObp0MVEI,6390
transformers/models/biogpt/convert_biogpt_original_pytorch_checkpoint_to_pytorch.py,sha256=5zNYzaEy7QPc99LCHTcofXSCI3tr0pzlIpFpwT1ZgN0,10578
transformers/models/biogpt/modeling_biogpt.py,sha256=XXF3SN-A4S8LZeSzwemrXJdC-EFFIbZD97tKl9Nz4eI,43239
transformers/models/biogpt/tokenization_biogpt.py,sha256=SFg-KRnWxMivlmgmAGDIE96kVFOb5-pi4HTVYSS_5JQ,13723
transformers/models/bit/__init__.py,sha256=g9Upc1daCF75FealBk9SK9FMQ-wkJMQxtjoN5mDk4cI,2244
transformers/models/bit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bit/__pycache__/configuration_bit.cpython-38.pyc,,
transformers/models/bit/__pycache__/convert_bit_to_pytorch.cpython-38.pyc,,
transformers/models/bit/__pycache__/image_processing_bit.cpython-38.pyc,,
transformers/models/bit/__pycache__/modeling_bit.cpython-38.pyc,,
transformers/models/bit/configuration_bit.py,sha256=XLLFCP9wKPkKmAuZvTcRPra9VPfNSoYnS6Mr-l4c6_k,6236
transformers/models/bit/convert_bit_to_pytorch.py,sha256=Z50gXtfe6Tj44cPdIvrFRqjHPdWHdeka5oAqsTuK_ig,5955
transformers/models/bit/image_processing_bit.py,sha256=acy9_ap2duZ96QJYChE5ZCNAeUttFFCo6vzGZPUdvTc,16108
transformers/models/bit/modeling_bit.py,sha256=1XUp3I7ndNocKiP5REQ0IVE_DoDTVK-8PWH174ZD03k,32019
transformers/models/blenderbot/__init__.py,sha256=nB9V1KQEetB0dazUyJ_KWDJscltclpJ6fJ746wy6zuU,4031
transformers/models/blenderbot/__pycache__/__init__.cpython-38.pyc,,
transformers/models/blenderbot/__pycache__/configuration_blenderbot.cpython-38.pyc,,
transformers/models/blenderbot/__pycache__/convert_blenderbot_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/blenderbot/__pycache__/modeling_blenderbot.cpython-38.pyc,,
transformers/models/blenderbot/__pycache__/modeling_flax_blenderbot.cpython-38.pyc,,
transformers/models/blenderbot/__pycache__/modeling_tf_blenderbot.cpython-38.pyc,,
transformers/models/blenderbot/__pycache__/tokenization_blenderbot.cpython-38.pyc,,
transformers/models/blenderbot/__pycache__/tokenization_blenderbot_fast.cpython-38.pyc,,
transformers/models/blenderbot/configuration_blenderbot.py,sha256=PltIGsoueUUC87f5SwtOp0qAKTAUxjxgOSKqHkv9tzQ,19016
transformers/models/blenderbot/convert_blenderbot_original_pytorch_checkpoint_to_pytorch.py,sha256=86QBWYTeyJvxMUOfxqmGHwpDneadfqbEGSujMYw3yuU,3702
transformers/models/blenderbot/modeling_blenderbot.py,sha256=7wcxr5w5LRtDDbCJKjbMFhRAVzVppajP-Pzv72C3eY8,77177
transformers/models/blenderbot/modeling_flax_blenderbot.py,sha256=UNmXJeOibeWqI_Ypibu6-bgAXoACBW14BS-FtTAgdfs,65012
transformers/models/blenderbot/modeling_tf_blenderbot.py,sha256=t2mu_m6Wje3mV5EBoJGXnvtITFd0wJBCiYGBM2UEDTc,67823
transformers/models/blenderbot/tokenization_blenderbot.py,sha256=4pxH4W1Jx_U2TjReX_Ai3INey_k2P-2s1D76hki-qJs,19488
transformers/models/blenderbot/tokenization_blenderbot_fast.py,sha256=eMX_4nOjtDQNfcpmRA3WrZGxH_jhzEV-HSzGNPTWn5c,14205
transformers/models/blenderbot_small/__init__.py,sha256=O-iMMZ9xZdyvP2PV4QYvxFcCaY6jEpKt5iyDzI_mrfM,4263
transformers/models/blenderbot_small/__pycache__/__init__.cpython-38.pyc,,
transformers/models/blenderbot_small/__pycache__/configuration_blenderbot_small.cpython-38.pyc,,
transformers/models/blenderbot_small/__pycache__/modeling_blenderbot_small.cpython-38.pyc,,
transformers/models/blenderbot_small/__pycache__/modeling_flax_blenderbot_small.cpython-38.pyc,,
transformers/models/blenderbot_small/__pycache__/modeling_tf_blenderbot_small.cpython-38.pyc,,
transformers/models/blenderbot_small/__pycache__/tokenization_blenderbot_small.cpython-38.pyc,,
transformers/models/blenderbot_small/__pycache__/tokenization_blenderbot_small_fast.cpython-38.pyc,,
transformers/models/blenderbot_small/configuration_blenderbot_small.py,sha256=oyDzjqSXCQdHISFtyuDT03kAQAm4zpxUFIYB8IepGcs,18479
transformers/models/blenderbot_small/modeling_blenderbot_small.py,sha256=jJGdJouE-m52bAzRcmHGQIMQqSdYey_NTWewJ9g2U7Y,75970
transformers/models/blenderbot_small/modeling_flax_blenderbot_small.py,sha256=iB-QjVmSintE2FBkWU9NOcfUJ6rR047489TRYsuDkcs,65958
transformers/models/blenderbot_small/modeling_tf_blenderbot_small.py,sha256=yknzZaN7pXBaE7vvXquRr7nT83GiByp_eugBjt9Ff0w,67121
transformers/models/blenderbot_small/tokenization_blenderbot_small.py,sha256=rRQq2nvZnvb5cTRlEjNYX7OSiAwysqDaYcDuNhiKILw,8641
transformers/models/blenderbot_small/tokenization_blenderbot_small_fast.py,sha256=-xowyVUy7LQeRwxowY6kbebU2ZCunIPiWzn3d51wbys,4058
transformers/models/blip/__init__.py,sha256=1OJOhjlrdGG1mkS-46qni8DdTosNMNVWZlR9QTe1K2I,3692
transformers/models/blip/__pycache__/__init__.cpython-38.pyc,,
transformers/models/blip/__pycache__/configuration_blip.cpython-38.pyc,,
transformers/models/blip/__pycache__/convert_blip_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/blip/__pycache__/image_processing_blip.cpython-38.pyc,,
transformers/models/blip/__pycache__/modeling_blip.cpython-38.pyc,,
transformers/models/blip/__pycache__/modeling_blip_text.cpython-38.pyc,,
transformers/models/blip/__pycache__/modeling_tf_blip.cpython-38.pyc,,
transformers/models/blip/__pycache__/modeling_tf_blip_text.cpython-38.pyc,,
transformers/models/blip/__pycache__/processing_blip.cpython-38.pyc,,
transformers/models/blip/configuration_blip.py,sha256=aWp22puqzTcxYlGpyuWfERTGX6vMgqpvGjd-8SVs7Ek,17118
transformers/models/blip/convert_blip_original_pytorch_to_hf.py,sha256=_pDCFuQdBCmPXUJz-PL-WK8BAAmlIwY68iHNA206Jvo,6980
transformers/models/blip/image_processing_blip.py,sha256=L_cFGyV6xw6l-gFjb1s8MjSWZdnpuli2HXj0XfdMJX0,14112
transformers/models/blip/modeling_blip.py,sha256=u7Xj1MfcED7RtnlUTiSFSU8i6CH9gmnQvCOutst89Gw,61776
transformers/models/blip/modeling_blip_text.py,sha256=LNoQQfXAjHr-S-nGCunTzocxbohF6y0dBedA_zgeNxw,43338
transformers/models/blip/modeling_tf_blip.py,sha256=WIuw5x2I0m3P0IlWI0cFrL-w7Qa34mIHbBhcMjWBkxo,65275
transformers/models/blip/modeling_tf_blip_text.py,sha256=ZfgdqkEku3e7OBH96bIb7nHlkA2pByIyikAcUujGwbw,42406
transformers/models/blip/processing_blip.py,sha256=8ZvF_AjLHWa68PRh-oXLlPYQyEhPUZCTl_jkOOeaVmY,6204
transformers/models/blip_2/__init__.py,sha256=uEo0Z9nF4AxtGnnMSZPEvbdImyy24KR_F1YtOJj_mvY,2153
transformers/models/blip_2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/blip_2/__pycache__/configuration_blip_2.cpython-38.pyc,,
transformers/models/blip_2/__pycache__/convert_blip_2_original_to_pytorch.cpython-38.pyc,,
transformers/models/blip_2/__pycache__/modeling_blip_2.cpython-38.pyc,,
transformers/models/blip_2/__pycache__/processing_blip_2.cpython-38.pyc,,
transformers/models/blip_2/configuration_blip_2.py,sha256=Iu5ze8WOGptIbtowFMSURN0JRk4P0kTO1yECRLzi4Tc,17275
transformers/models/blip_2/convert_blip_2_original_to_pytorch.py,sha256=Hu9Y6LZSyB1tBO0h1Vv75bg1C5Jni-GQTw5uh7-yx88,12330
transformers/models/blip_2/modeling_blip_2.py,sha256=gCG17_Xk4uXPPmfk2CnAMk1ZsegbS7ypgbf3eeD8fd8,81996
transformers/models/blip_2/processing_blip_2.py,sha256=ZWkETvlUBLNZjTMynYtCBp_NNOiNM1Ym_CN-I3qTUig,6698
transformers/models/bloom/__init__.py,sha256=Dak_sGwY4pk-ikk-HVOOBpk15GIgXhRADJ9x34AVvsc,2499
transformers/models/bloom/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bloom/__pycache__/configuration_bloom.cpython-38.pyc,,
transformers/models/bloom/__pycache__/convert_bloom_original_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/bloom/__pycache__/modeling_bloom.cpython-38.pyc,,
transformers/models/bloom/__pycache__/tokenization_bloom_fast.cpython-38.pyc,,
transformers/models/bloom/configuration_bloom.py,sha256=95E05m3wMv77Tyl7xfSrFfU4jWutXboiL83oa4PQpTQ,10758
transformers/models/bloom/convert_bloom_original_checkpoint_to_pytorch.py,sha256=WvxNS5YRu84Ek1ieKkyHRKcakRbZFJr5989nEjI6qQs,10302
transformers/models/bloom/modeling_bloom.py,sha256=3qXVMxn-zSsK8oxCPiY_iXqAolgUiIn5dMdblcm-nPw,56945
transformers/models/bloom/tokenization_bloom_fast.py,sha256=Kr8StgRRaL4MB5oTj-OAlVmsuINqYBk9_nl_kcAFaVY,7389
transformers/models/bridgetower/__init__.py,sha256=hqrBKe3gtOVATPn1QP5BEpqSVNhJZ2x_Cg11t0Bv-lc,2864
transformers/models/bridgetower/__pycache__/__init__.cpython-38.pyc,,
transformers/models/bridgetower/__pycache__/configuration_bridgetower.cpython-38.pyc,,
transformers/models/bridgetower/__pycache__/image_processing_bridgetower.cpython-38.pyc,,
transformers/models/bridgetower/__pycache__/modeling_bridgetower.cpython-38.pyc,,
transformers/models/bridgetower/__pycache__/processing_bridgetower.cpython-38.pyc,,
transformers/models/bridgetower/configuration_bridgetower.py,sha256=T1ZVVGko8v_9ypNRdJ-m1J3dAqZV-45v0IB_ppFQ6_g,17056
transformers/models/bridgetower/image_processing_bridgetower.py,sha256=048jsdZ374qEQFrwmXyRPcf0s3ECtRRGaziP8htuN44,22800
transformers/models/bridgetower/modeling_bridgetower.py,sha256=LBy_2UMPu1sXxY60xNjP_2Az1_yOO9Vco7MdWZDOYGU,88379
transformers/models/bridgetower/processing_bridgetower.py,sha256=bd2Wyj6W0AdtnvFaW_8U1hfrC4wJKGTd2tlL46DORsI,5056
transformers/models/byt5/__init__.py,sha256=06YhQd8TFNbc9lU5qzERZUdcSWIFxOeBOaqQh6S4WC4,942
transformers/models/byt5/__pycache__/__init__.cpython-38.pyc,,
transformers/models/byt5/__pycache__/convert_byt5_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/byt5/__pycache__/tokenization_byt5.cpython-38.pyc,,
transformers/models/byt5/convert_byt5_original_tf_checkpoint_to_pytorch.py,sha256=83tKCwYRSRW7zXtm9cmszqtPhpw44cH8Cj0SWUSBgN0,2120
transformers/models/byt5/tokenization_byt5.py,sha256=AsigDsQny7pA1cXEspriK4jlm-tuxxvKO9vsumwQ9ag,10727
transformers/models/camembert/__init__.py,sha256=UBlxBknmDgdOkelwnQSGkAejq1meoGd2CgmQtGayhII,4443
transformers/models/camembert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/camembert/__pycache__/configuration_camembert.cpython-38.pyc,,
transformers/models/camembert/__pycache__/modeling_camembert.cpython-38.pyc,,
transformers/models/camembert/__pycache__/modeling_tf_camembert.cpython-38.pyc,,
transformers/models/camembert/__pycache__/tokenization_camembert.cpython-38.pyc,,
transformers/models/camembert/__pycache__/tokenization_camembert_fast.cpython-38.pyc,,
transformers/models/camembert/configuration_camembert.py,sha256=qH_2t28SJy8mOiGVNIgfxJRht7_1fjWWYLAF8BG7P1s,7735
transformers/models/camembert/modeling_camembert.py,sha256=Phy36DH81bA9yoq01GndrMyBBVLJ_xzQ_Ywtcr6NioM,72469
transformers/models/camembert/modeling_tf_camembert.py,sha256=EldbXllGdvdBbdv4qwvadYNmU8qpQ6cZizc0SkO7I1I,73463
transformers/models/camembert/tokenization_camembert.py,sha256=oAnNMKu8wSQ6uSdYcdANK6eybiiehFN7TVfzG-weRcM,13581
transformers/models/camembert/tokenization_camembert_fast.py,sha256=WS_evsV6J_nYEQKvODkEexGpHQdZY0dohtxCijukuYw,8658
transformers/models/canine/__init__.py,sha256=7AYQEAa5qVyCZ73fkPg0yXl5-YpLg55i3RpY1J3KulM,2272
transformers/models/canine/__pycache__/__init__.cpython-38.pyc,,
transformers/models/canine/__pycache__/configuration_canine.cpython-38.pyc,,
transformers/models/canine/__pycache__/convert_canine_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/canine/__pycache__/modeling_canine.cpython-38.pyc,,
transformers/models/canine/__pycache__/tokenization_canine.cpython-38.pyc,,
transformers/models/canine/configuration_canine.py,sha256=NTI7WthlQgFMwQSkcuBPG8D7h4wYjGAKAPw6_kci2DE,6478
transformers/models/canine/convert_canine_original_tf_checkpoint_to_pytorch.py,sha256=vGfFFo49PfyXtZdgIQHRcqMPcbmF8aMEC9DiHMyEsn0,2117
transformers/models/canine/modeling_canine.py,sha256=T0VsAOP_zOEqEuj9AuOlwiH0bOj4oKlyh2IhsGAC9wY,73763
transformers/models/canine/tokenization_canine.py,sha256=7v7yYKqay86KnTs49RybUCMLpQXd4Y84HAk2EPo8j7g,9276
transformers/models/chinese_clip/__init__.py,sha256=SNfgqh2dGAcoNXXZx-8XFNO3UDriK_yV7vf-M23Qnfk,2919
transformers/models/chinese_clip/__pycache__/__init__.cpython-38.pyc,,
transformers/models/chinese_clip/__pycache__/configuration_chinese_clip.cpython-38.pyc,,
transformers/models/chinese_clip/__pycache__/convert_chinese_clip_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/chinese_clip/__pycache__/feature_extraction_chinese_clip.cpython-38.pyc,,
transformers/models/chinese_clip/__pycache__/image_processing_chinese_clip.cpython-38.pyc,,
transformers/models/chinese_clip/__pycache__/modeling_chinese_clip.cpython-38.pyc,,
transformers/models/chinese_clip/__pycache__/processing_chinese_clip.cpython-38.pyc,,
transformers/models/chinese_clip/configuration_chinese_clip.py,sha256=3LBe8aB3UP1bVgEnFl5bSaGsy1_kmLYTXyZsEjRfRDg,22588
transformers/models/chinese_clip/convert_chinese_clip_original_pytorch_to_hf.py,sha256=-0bnVcdXxStmygkyj6S1hIGCVbpEbe3cM7AoshHH5ZE,5069
transformers/models/chinese_clip/feature_extraction_chinese_clip.py,sha256=znduyOyJ-Qdx4MC5CPb6MFZ-Wrb5PLgHWRh0xfoULR0,1247
transformers/models/chinese_clip/image_processing_chinese_clip.py,sha256=D2IKgjxzR9KXEuj6SWM39E3tHZf8NRSbTgUeBx5T3_4,15758
transformers/models/chinese_clip/modeling_chinese_clip.py,sha256=oowoLuvyUzEs8t0M0IVzdZtK7_-edH7iLH9WyIHNn2k,73599
transformers/models/chinese_clip/processing_chinese_clip.py,sha256=P7zcn_lLJ_YfZR8sQdkjpoNCAqlWXpm_vYHxB9-hZnQ,6787
transformers/models/clap/__init__.py,sha256=MOoheQt_0P8KCRlN4QiWyzrskH9dUUfSSF_pZpJEchw,2322
transformers/models/clap/__pycache__/__init__.cpython-38.pyc,,
transformers/models/clap/__pycache__/configuration_clap.cpython-38.pyc,,
transformers/models/clap/__pycache__/convert_clap_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/clap/__pycache__/feature_extraction_clap.cpython-38.pyc,,
transformers/models/clap/__pycache__/modeling_clap.cpython-38.pyc,,
transformers/models/clap/__pycache__/processing_clap.cpython-38.pyc,,
transformers/models/clap/configuration_clap.py,sha256=DiHayToSdueAL_qOr7zic2CgnD8bc4G0OLH5RzoQE5g,21201
transformers/models/clap/convert_clap_original_pytorch_to_hf.py,sha256=fIO5CZFGVGn3ToV-eXbNkSkzMLN4GGIEAMEHtm7Ef9w,4695
transformers/models/clap/feature_extraction_clap.py,sha256=b9zQ9u3Kpsa2Yf2TbJw0apYQ_cI7gOjIK3_V14QFwk4,18653
transformers/models/clap/modeling_clap.py,sha256=N-34eJZCaWmZGMyOLaMgouOLRQEHcoGe48ARfajvpno,105313
transformers/models/clap/processing_clap.py,sha256=3JB6tYkiyB-ogXdIN_9MQ7BarqIKbE6dtuFDx3_qrNo,5704
transformers/models/clip/__init__.py,sha256=H4MUDa9crT_eX8A6MmslksbFALh5Jghpih2-F14iLOI,5027
transformers/models/clip/__pycache__/__init__.cpython-38.pyc,,
transformers/models/clip/__pycache__/configuration_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/convert_clip_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/clip/__pycache__/feature_extraction_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/image_processing_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/modeling_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/modeling_flax_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/modeling_tf_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/processing_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/tokenization_clip.cpython-38.pyc,,
transformers/models/clip/__pycache__/tokenization_clip_fast.cpython-38.pyc,,
transformers/models/clip/configuration_clip.py,sha256=BTdn4wleAnxi4CSOW_b3jMaXkjfsRWeS74JAcgOuCr4,21049
transformers/models/clip/convert_clip_original_pytorch_to_hf.py,sha256=3_eKm-gpqB5DNvL8b3OKSUrjG7YFxqrQl1DBdL_IboA,5306
transformers/models/clip/feature_extraction_clip.py,sha256=hgRfD-s9DoI7tzDLAJ0EW3rSbkY9dOiGqoGClOiRiBM,1172
transformers/models/clip/image_processing_clip.py,sha256=VBtDIWPusl_N1BNGXu0MGCdLZqKarDsJSI1oz0quRsA,16139
transformers/models/clip/modeling_clip.py,sha256=lhGAAzSggi-SoBR83kA8L7C9gBOqw6zHV4IAvDoJCF8,57071
transformers/models/clip/modeling_flax_clip.py,sha256=-VOoHxXnywtZwn4NnyQW6iMMNCX0r-6ex1wLg6ZDrmY,45844
transformers/models/clip/modeling_tf_clip.py,sha256=r9-OX4RGMgCpqHLT_DggJlTiAHscBVvCTdShoasriRo,53459
transformers/models/clip/processing_clip.py,sha256=d8E7f2Nmas6rZ5hzBoFQilE-3SUR3lEK_QxpKijB1iY,6854
transformers/models/clip/tokenization_clip.py,sha256=3W2r1CIiXZ3xPGFfP3TglbFtoRoCWhtisyrpuHO8KUw,21029
transformers/models/clip/tokenization_clip_fast.py,sha256=7fXmfqK-_u3TXT5KSGbl4mqDf4SeJl2B9MI442lTcSQ,6956
transformers/models/clipseg/__init__.py,sha256=XmEjQiZo2l7fQvPX8Tm_rsd3wItyBrBg3gtvDAkOTZM,2179
transformers/models/clipseg/__pycache__/__init__.cpython-38.pyc,,
transformers/models/clipseg/__pycache__/configuration_clipseg.cpython-38.pyc,,
transformers/models/clipseg/__pycache__/convert_clipseg_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/clipseg/__pycache__/modeling_clipseg.cpython-38.pyc,,
transformers/models/clipseg/__pycache__/processing_clipseg.cpython-38.pyc,,
transformers/models/clipseg/configuration_clipseg.py,sha256=khjwE1vDiAvgbiJEtsN00F6pKbQhAqSvcY5j7kN6ERQ,21241
transformers/models/clipseg/convert_clipseg_original_pytorch_to_hf.py,sha256=kYyPxdpdtt6nSxD65tXUTMbN0xPyyzjfTOOMbQ8OL0Y,11114
transformers/models/clipseg/modeling_clipseg.py,sha256=eQfB6bj_5mSUj6LSAUV0o1R6lVMqE37cI4z_seDKhHQ,65133
transformers/models/clipseg/processing_clipseg.py,sha256=Fkc0p-QKadhDHqHBis5C9HJjhIjHedquFxPYWHHS2dk,7871
transformers/models/codegen/__init__.py,sha256=Zb96Hyd6W5WaIc7l-psLnEhYjANmwxzZlAR-g37xKkI,2443
transformers/models/codegen/__pycache__/__init__.cpython-38.pyc,,
transformers/models/codegen/__pycache__/configuration_codegen.cpython-38.pyc,,
transformers/models/codegen/__pycache__/modeling_codegen.cpython-38.pyc,,
transformers/models/codegen/__pycache__/tokenization_codegen.cpython-38.pyc,,
transformers/models/codegen/__pycache__/tokenization_codegen_fast.cpython-38.pyc,,
transformers/models/codegen/configuration_codegen.py,sha256=3dJXqJ9yxbEP1vaFSq8JLEZ6ggeaIoWZfDxp-mJK00c,10324
transformers/models/codegen/modeling_codegen.py,sha256=5oY9gIRDPzrJEZMIDuyqulIri5WlJTib_VsKrvOOcR0,31450
transformers/models/codegen/tokenization_codegen.py,sha256=SCwT5Sdj5fIZOIdmTwdeYhpgiKXzJm3_EiKK7HL8MRQ,15219
transformers/models/codegen/tokenization_codegen_fast.py,sha256=IHhOe_KPBltW0OKlhOtx1sc9BfuLMwU6wyO4T8uJbT4,10614
transformers/models/conditional_detr/__init__.py,sha256=aFyaZb6RKCOPPf_kPK83WhyaDO5NFiox70ZbMe5gxvw,2828
transformers/models/conditional_detr/__pycache__/__init__.cpython-38.pyc,,
transformers/models/conditional_detr/__pycache__/configuration_conditional_detr.cpython-38.pyc,,
transformers/models/conditional_detr/__pycache__/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/conditional_detr/__pycache__/feature_extraction_conditional_detr.cpython-38.pyc,,
transformers/models/conditional_detr/__pycache__/image_processing_conditional_detr.cpython-38.pyc,,
transformers/models/conditional_detr/__pycache__/modeling_conditional_detr.cpython-38.pyc,,
transformers/models/conditional_detr/configuration_conditional_detr.py,sha256=qAgpfpc4VlL-iV-z0y14GJZsaT77ixLglvAggSY8gSE,12973
transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py,sha256=O0da9fOwcPhpQSaa0Ci34txn-9YF9fAMGvRHK0dCk3Q,15930
transformers/models/conditional_detr/feature_extraction_conditional_detr.py,sha256=rXLHz0yK_CpzbzzLNt7ey_l7W9EOyG4eoXaA7en291A,1251
transformers/models/conditional_detr/image_processing_conditional_detr.py,sha256=v6Id55jLYHe-Ff9GDr8ehQCocAZdRm4h8PiKJsS3h-U,70534
transformers/models/conditional_detr/modeling_conditional_detr.py,sha256=Gkq4_qw6fvAOcRRgrImNGt1RrpNSxPxYXXycopezZlc,127751
transformers/models/convbert/__init__.py,sha256=wkLfe2pjkQmfQ0sd28ixnL1__YYimYDtT5FP1bRD0YE,4069
transformers/models/convbert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/convbert/__pycache__/configuration_convbert.cpython-38.pyc,,
transformers/models/convbert/__pycache__/convert_convbert_original_tf1_checkpoint_to_pytorch_and_tf2.cpython-38.pyc,,
transformers/models/convbert/__pycache__/modeling_convbert.cpython-38.pyc,,
transformers/models/convbert/__pycache__/modeling_tf_convbert.cpython-38.pyc,,
transformers/models/convbert/__pycache__/tokenization_convbert.cpython-38.pyc,,
transformers/models/convbert/__pycache__/tokenization_convbert_fast.cpython-38.pyc,,
transformers/models/convbert/configuration_convbert.py,sha256=ZA7jmiAfJdZczb7JryvGf_OYlRQw3BZQboBIx0EJOYk,7311
transformers/models/convbert/convert_convbert_original_tf1_checkpoint_to_pytorch_and_tf2.py,sha256=vTZyGhG9v7o4rDuP9-xM26gX1EzlCda7Sn_ELT9n3Gk,2108
transformers/models/convbert/modeling_convbert.py,sha256=-PL9BxPQ2Qo5ifpu-iMfUel8vDakcNivW_vzzVNaoyw,58732
transformers/models/convbert/modeling_tf_convbert.py,sha256=TRVpw-MqvNI_ajhOFq0dag3UrlBDy5G8_vc-B2AQZmg,52625
transformers/models/convbert/tokenization_convbert.py,sha256=TEt6K-zoKXqe9eu7QiO9kb47oX1mZOXnbMQuMJpDQ5g,21870
transformers/models/convbert/tokenization_convbert_fast.py,sha256=e6FPmB9C7kpHtrbJJCujOgI6eWmgrnVoJL4QKsA302o,8765
transformers/models/convnext/__init__.py,sha256=K8TKvIQuVogfZPifZjZeCwGJKA_vnASMr7LWx4CggqA,3150
transformers/models/convnext/__pycache__/__init__.cpython-38.pyc,,
transformers/models/convnext/__pycache__/configuration_convnext.cpython-38.pyc,,
transformers/models/convnext/__pycache__/convert_convnext_to_pytorch.cpython-38.pyc,,
transformers/models/convnext/__pycache__/feature_extraction_convnext.cpython-38.pyc,,
transformers/models/convnext/__pycache__/image_processing_convnext.cpython-38.pyc,,
transformers/models/convnext/__pycache__/modeling_convnext.cpython-38.pyc,,
transformers/models/convnext/__pycache__/modeling_tf_convnext.cpython-38.pyc,,
transformers/models/convnext/configuration_convnext.py,sha256=CJj2qDs5s1h5pqFg1fv8IZP_r00s34qCCFFRpcI1kNc,6201
transformers/models/convnext/convert_convnext_to_pytorch.py,sha256=6QenssUB5Op--7nvPTPjRUEozX-4kljweJvc-blSpnQ,10220
transformers/models/convnext/feature_extraction_convnext.py,sha256=TyFMochXYlN3vKH7Ud0nXagzxGhio2Bfma4ofceR_zA,1200
transformers/models/convnext/image_processing_convnext.py,sha256=CYy7HvajJpVXX_TXHamLpGTWxhNDgfcKYXZneHiDzEk,15054
transformers/models/convnext/modeling_convnext.py,sha256=OBRdo8H4yuBkbwb-5M-ib2wte3_FBJUbJRNi4Tm1nTs,22149
transformers/models/convnext/modeling_tf_convnext.py,sha256=ONxxuChY0_LzifFWAo0-dlZaqITW_yG834T8E-6k5XQ,23306
transformers/models/convnextv2/__init__.py,sha256=nrv0q-PBuz9RfhrujMtR155Sucgv5340fHjAk-qceaM,2159
transformers/models/convnextv2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/convnextv2/__pycache__/configuration_convnextv2.cpython-38.pyc,,
transformers/models/convnextv2/__pycache__/convert_convnextv2_to_pytorch.cpython-38.pyc,,
transformers/models/convnextv2/__pycache__/modeling_convnextv2.cpython-38.pyc,,
transformers/models/convnextv2/configuration_convnextv2.py,sha256=CUCgHB1R1SFsVz2Xs0GZ1XAwASaZA5ZNWvo56VNclu4,5430
transformers/models/convnextv2/convert_convnextv2_to_pytorch.py,sha256=Yswl5UwLP0t0tC8O2b8wix2beNaMtPy7areKFCuEccg,12473
transformers/models/convnextv2/modeling_convnextv2.py,sha256=72NY3c0WNpYYycRZkCwqw-Le0xyatIngRTDwI6sxD6g,23932
transformers/models/cpm/__init__.py,sha256=9SmT0nL5DgGjXxmPaQFi9GGPXWuhFic2DX2GsF-BynQ,1816
transformers/models/cpm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/cpm/__pycache__/tokenization_cpm.cpython-38.pyc,,
transformers/models/cpm/__pycache__/tokenization_cpm_fast.cpython-38.pyc,,
transformers/models/cpm/tokenization_cpm.py,sha256=eQFpA3ayAXjOLS4wI3Ds_O5pwyLDhn6s2AvgB12URlw,15154
transformers/models/cpm/tokenization_cpm_fast.py,sha256=zp98Qqb9wwpkLyjQmmmEXJ3sRhdVT_cxtC3eihjUS7w,10680
transformers/models/cpmant/__init__.py,sha256=5hTyJtQwoONrf9-BMvt_nT_bovkj9avoSk9UdLCvW4w,2117
transformers/models/cpmant/__pycache__/__init__.cpython-38.pyc,,
transformers/models/cpmant/__pycache__/configuration_cpmant.cpython-38.pyc,,
transformers/models/cpmant/__pycache__/modeling_cpmant.cpython-38.pyc,,
transformers/models/cpmant/__pycache__/tokenization_cpmant.cpython-38.pyc,,
transformers/models/cpmant/configuration_cpmant.py,sha256=SZjDgA_3FEQubTjx9RURZDoj9315qJIMtHsC8WuLNV4,5329
transformers/models/cpmant/modeling_cpmant.py,sha256=vG7VsEpJVRmkPuHOMiBbtEkX4nt0samV9OiGSjDy2h4,37709
transformers/models/cpmant/tokenization_cpmant.py,sha256=s5hVwiY8Wxqs2-n43PU0y3CDM-8CWq16fybC9trgAKk,10079
transformers/models/ctrl/__init__.py,sha256=-Sa7nUQv3Cxj4KLXFaBtnkG_r3uIdpbU_Q_TmMl1lKM,2688
transformers/models/ctrl/__pycache__/__init__.cpython-38.pyc,,
transformers/models/ctrl/__pycache__/configuration_ctrl.cpython-38.pyc,,
transformers/models/ctrl/__pycache__/modeling_ctrl.cpython-38.pyc,,
transformers/models/ctrl/__pycache__/modeling_tf_ctrl.cpython-38.pyc,,
transformers/models/ctrl/__pycache__/tokenization_ctrl.cpython-38.pyc,,
transformers/models/ctrl/configuration_ctrl.py,sha256=Z6R-1ZpcGKU9IEKebIIsTldkQYe4Ho1f7EdSFSrOJMw,4738
transformers/models/ctrl/modeling_ctrl.py,sha256=-ybZJ9Rw0tIgkxhFwP332bE8nWMSaD3YeBb7nIGLvqM,34910
transformers/models/ctrl/modeling_tf_ctrl.py,sha256=hB_4feuYZo62A-YJGV3PaP_K9RLgl4pV-LE3TsffflY,36036
transformers/models/ctrl/tokenization_ctrl.py,sha256=wYNXcSw8_G2KZyeJL-nl7qw0C60ZmlWC3GF621VTjPI,8491
transformers/models/cvt/__init__.py,sha256=dk1C0zaBDT0dl7BYLe1mRb85Dp_a_IHomekjOjYPHJ8,2434
transformers/models/cvt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/cvt/__pycache__/configuration_cvt.cpython-38.pyc,,
transformers/models/cvt/__pycache__/convert_cvt_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/cvt/__pycache__/modeling_cvt.cpython-38.pyc,,
transformers/models/cvt/__pycache__/modeling_tf_cvt.cpython-38.pyc,,
transformers/models/cvt/configuration_cvt.py,sha256=ApwQ30O_S2Xv2ZmTZWRi7XNih8yNdtL0zi0AfdsbAIU,6860
transformers/models/cvt/convert_cvt_original_pytorch_checkpoint_to_pytorch.py,sha256=miqNzPWIAjwl5rtkWOmRUJl-18X-9cRXXWb9M3ScHI4,13570
transformers/models/cvt/modeling_cvt.py,sha256=80tbETq48Mf14L9tXvdMqY70HbgJOK3HYmDpgQcQFBE,28913
transformers/models/cvt/modeling_tf_cvt.py,sha256=r34I56oMvqjG7Fuuw6aM86lva6YuNk9EOsCTqkH_wac,36051
transformers/models/data2vec/__init__.py,sha256=1Pq8n8wNccLQ76e8oNDwOemqh-E0eMKpr6tdt2ata8w,4933
transformers/models/data2vec/__pycache__/__init__.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/configuration_data2vec_audio.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/configuration_data2vec_text.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/configuration_data2vec_vision.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/convert_data2vec_audio_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/convert_data2vec_text_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/convert_data2vec_vision_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/modeling_data2vec_audio.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/modeling_data2vec_text.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/modeling_data2vec_vision.cpython-38.pyc,,
transformers/models/data2vec/__pycache__/modeling_tf_data2vec_vision.cpython-38.pyc,,
transformers/models/data2vec/configuration_data2vec_audio.py,sha256=abIpLUEVqgl_xJp4-GslpReFHUML_J60SVDtphJk21k,16436
transformers/models/data2vec/configuration_data2vec_text.py,sha256=dltrIeyrL67aNd5zBAW0o-bbQD7ZxhMSp27WWmHYUec,7420
transformers/models/data2vec/configuration_data2vec_vision.py,sha256=9VEmrcvknjJAJyr3VDn35yJMJ3UDCelHvJVo45Es3d0,9432
transformers/models/data2vec/convert_data2vec_audio_original_pytorch_checkpoint_to_pytorch.py,sha256=czYaA_tlF-uCDMFV1RFaL5g8QJRozBiVUCu9nuhLcZU,10858
transformers/models/data2vec/convert_data2vec_text_original_pytorch_checkpoint_to_pytorch.py,sha256=4scSS9J1m1xG6sy_BLvjbCeEL8Ke2RhNtNqsVt2zUCI,9580
transformers/models/data2vec/convert_data2vec_vision_original_pytorch_checkpoint_to_pytorch.py,sha256=qKjV-jqIgL-6i17m4yQLW_93SbPpGxQnvHjuy1xVxQU,15340
transformers/models/data2vec/modeling_data2vec_audio.py,sha256=cX_E5flOgH9b-_TIYseivJ2nRNWsOKzH1xhrV1N5DuI,65709
transformers/models/data2vec/modeling_data2vec_text.py,sha256=n4ddnr0OqeJX5UY0lTtdFK6EPd99z5aushkzrlzxd9M,71169
transformers/models/data2vec/modeling_data2vec_vision.py,sha256=MHvIAT3NQ1yMWjqfaxlPUmKAqw9tbRlNREaxGyTbae4,53184
transformers/models/data2vec/modeling_tf_data2vec_vision.py,sha256=w9ZRpwvv7yFar2iGnBFihlMduaXmd4TtRPu8P0GosCA,60423
transformers/models/deberta/__init__.py,sha256=azYcZaZso6o7T3SDyUrczkAZ4ZzgDh4hcPoT0bgPRSE,3677
transformers/models/deberta/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deberta/__pycache__/configuration_deberta.cpython-38.pyc,,
transformers/models/deberta/__pycache__/modeling_deberta.cpython-38.pyc,,
transformers/models/deberta/__pycache__/modeling_tf_deberta.cpython-38.pyc,,
transformers/models/deberta/__pycache__/tokenization_deberta.cpython-38.pyc,,
transformers/models/deberta/__pycache__/tokenization_deberta_fast.cpython-38.pyc,,
transformers/models/deberta/configuration_deberta.py,sha256=bu3vMYTJgtDWSu6bRAMIxVaWH97XrsUcZze0M5WJJC0,9389
transformers/models/deberta/modeling_deberta.py,sha256=Cf-xifM1v9Tz6AilgFet9RyGK5aggDYjyQNAvIXixtM,58332
transformers/models/deberta/modeling_tf_deberta.py,sha256=qwHusyX4MD_W3tu2bppxnXguc3JZrux9JTotbNXH6kg,60370
transformers/models/deberta/tokenization_deberta.py,sha256=iUInFxAmLgBVa1Plwrq91tJKQRfI3rCCvT3XQt7Fx9Y,19801
transformers/models/deberta/tokenization_deberta_fast.py,sha256=5gjC9GZFa1GmiBszKlP6PyFHBVEuq_T2xQi1oUqfZpg,13437
transformers/models/deberta_v2/__init__.py,sha256=LluIQaspg15sHe-CcWP93QaWkH7tjnEWUGqTdIRIuuU,3899
transformers/models/deberta_v2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deberta_v2/__pycache__/configuration_deberta_v2.cpython-38.pyc,,
transformers/models/deberta_v2/__pycache__/modeling_deberta_v2.cpython-38.pyc,,
transformers/models/deberta_v2/__pycache__/modeling_tf_deberta_v2.cpython-38.pyc,,
transformers/models/deberta_v2/__pycache__/tokenization_deberta_v2.cpython-38.pyc,,
transformers/models/deberta_v2/__pycache__/tokenization_deberta_v2_fast.cpython-38.pyc,,
transformers/models/deberta_v2/configuration_deberta_v2.py,sha256=zDCVBZSpQafUJOQUBc4y7nVDSIynLn-mtLmb07eGARA,9175
transformers/models/deberta_v2/modeling_deberta_v2.py,sha256=mOQYiNpRfVZOCsh-R6kHHIWrD_PpPz-8QsuRxj8XSMs,67935
transformers/models/deberta_v2/modeling_tf_deberta_v2.py,sha256=Ay7oAxGAewEPrtWmUOO6b1PSc_BMCQwVMbVunHXAqRM,66544
transformers/models/deberta_v2/tokenization_deberta_v2.py,sha256=prgA2-T-hW4x_oxWi66z5W7rqsDDaFNELboFmLknrvM,21720
transformers/models/deberta_v2/tokenization_deberta_v2_fast.py,sha256=wGtyy2MP5j5eemvPWVnXjLaYE75f5Q1BAVAbXxci7Kk,10997
transformers/models/decision_transformer/__init__.py,sha256=geVmBybTFepK0keGuRrLYl6hwZhT5I2BK4dfeYFDqWw,2124
transformers/models/decision_transformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/decision_transformer/__pycache__/configuration_decision_transformer.cpython-38.pyc,,
transformers/models/decision_transformer/__pycache__/modeling_decision_transformer.cpython-38.pyc,,
transformers/models/decision_transformer/configuration_decision_transformer.py,sha256=lI5Yh4GNB4nG-96XfywcCwKVm-yzvPHme_EndgkfJCQ,7321
transformers/models/decision_transformer/modeling_decision_transformer.py,sha256=4ONV20RRw5QA0baT1kYMboU0YDx_zo0G5gZK563L1Q4,43327
transformers/models/deformable_detr/__init__.py,sha256=jwNDOMAnuD5Efvu3FYvA1H9JJB9QBb6NpoaoCCJU1Ns,2599
transformers/models/deformable_detr/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deformable_detr/__pycache__/configuration_deformable_detr.cpython-38.pyc,,
transformers/models/deformable_detr/__pycache__/convert_deformable_detr_to_pytorch.cpython-38.pyc,,
transformers/models/deformable_detr/__pycache__/feature_extraction_deformable_detr.cpython-38.pyc,,
transformers/models/deformable_detr/__pycache__/image_processing_deformable_detr.cpython-38.pyc,,
transformers/models/deformable_detr/__pycache__/load_custom.cpython-38.pyc,,
transformers/models/deformable_detr/__pycache__/modeling_deformable_detr.cpython-38.pyc,,
transformers/models/deformable_detr/configuration_deformable_detr.py,sha256=7XENtf1QPpeJ1Cnils5ScKB6jhghwoYXbj882HQgfVg,14244
transformers/models/deformable_detr/convert_deformable_detr_to_pytorch.py,sha256=264dW2XMu4QcgO6IaMa4eOjrIHErz-RLw_9FLD6C46Q,9477
transformers/models/deformable_detr/feature_extraction_deformable_detr.py,sha256=IbZztmnKks2AZQ31e3wTSD7Bj3eXyAJ-mZS6CSGQqw4,1244
transformers/models/deformable_detr/image_processing_deformable_detr.py,sha256=IncYNeRh96R7LpOMaJKAmCRJdc982HRWeGXHgtdMF2Y,57980
transformers/models/deformable_detr/load_custom.py,sha256=0jENX1Mkz0bYlyUYYgp1YYEpQ8r32degzoL4CmVGe3w,1559
transformers/models/deformable_detr/modeling_deformable_detr.py,sha256=EveZYx2b9ok7ly9AhXt_BLMZU1W1RvD_NJ9RK4QQd_s,119564
transformers/models/deit/__init__.py,sha256=ZVWuhflGzxt-AZ2wcCTX0JfXBY3puVD_O9WkNqfOH1A,3486
transformers/models/deit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deit/__pycache__/configuration_deit.cpython-38.pyc,,
transformers/models/deit/__pycache__/convert_deit_timm_to_pytorch.cpython-38.pyc,,
transformers/models/deit/__pycache__/feature_extraction_deit.cpython-38.pyc,,
transformers/models/deit/__pycache__/image_processing_deit.cpython-38.pyc,,
transformers/models/deit/__pycache__/modeling_deit.cpython-38.pyc,,
transformers/models/deit/__pycache__/modeling_tf_deit.cpython-38.pyc,,
transformers/models/deit/configuration_deit.py,sha256=sLcnC4mJYMqZY4vn8a-K0_4uXnRiCQxjAcoOWmn8V0E,5961
transformers/models/deit/convert_deit_timm_to_pytorch.py,sha256=JMCXzccvcbz1euXpqx-pb86V2PVDLKl-OYbFDLvvSZU,9217
transformers/models/deit/feature_extraction_deit.py,sha256=1j_aV0oAZUofSYJGCEFRo0WNd_zVEXjj3SFlTQSuV1E,1172
transformers/models/deit/image_processing_deit.py,sha256=73T6TpWoA_WW9z5m44PkRfxAOOuimPx9dqdblIg5J5s,14866
transformers/models/deit/modeling_deit.py,sha256=F1U663scd3BBBotWdvMkbDxoFlX-G2rzk_lPHzk9_nI,38581
transformers/models/deit/modeling_tf_deit.py,sha256=zxH8iErDpG2S2DX7JGdXB5GRA8K36kkeC-KjyI9JV4Q,42421
transformers/models/deprecated/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/models/deprecated/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/bort/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/models/deprecated/bort/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/bort/__pycache__/convert_bort_original_gluonnlp_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/deprecated/bort/convert_bort_original_gluonnlp_checkpoint_to_pytorch.py,sha256=EsdvMpRKbCcbePo7unHMc_6Ueg32D5FPA9TACGYEQiM,14057
transformers/models/deprecated/mctct/__init__.py,sha256=Rbzjcs6HiXhpUeaKRE6Qtj9XsIRLkUrFAiQnbOerMrM,1892
transformers/models/deprecated/mctct/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/mctct/__pycache__/configuration_mctct.cpython-38.pyc,,
transformers/models/deprecated/mctct/__pycache__/feature_extraction_mctct.cpython-38.pyc,,
transformers/models/deprecated/mctct/__pycache__/modeling_mctct.cpython-38.pyc,,
transformers/models/deprecated/mctct/__pycache__/processing_mctct.cpython-38.pyc,,
transformers/models/deprecated/mctct/configuration_mctct.py,sha256=bIc2JefJ32bH3L77kxcVuxcH0rGUx_5PRRDTNttFRzA,9308
transformers/models/deprecated/mctct/feature_extraction_mctct.py,sha256=JsaSE20NeqBX8Uw-07Y5HdUcQtbYZqCrTN18Wu2B4rI,13460
transformers/models/deprecated/mctct/modeling_mctct.py,sha256=iwMduUfCjRTxxcOVv8Gai8vqH3J5TldkqelXDRO8beE,33784
transformers/models/deprecated/mctct/processing_mctct.py,sha256=TdPyyzpDk5iCEsQyhQJmK3xS6loK8OWJnlGBsoMe2lE,5929
transformers/models/deprecated/mmbt/__init__.py,sha256=0CCmesCwGIMNFlf2oDsL0gYaCSpsfAC1_bMOXRcAgF4,1480
transformers/models/deprecated/mmbt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/mmbt/__pycache__/configuration_mmbt.cpython-38.pyc,,
transformers/models/deprecated/mmbt/__pycache__/modeling_mmbt.cpython-38.pyc,,
transformers/models/deprecated/mmbt/configuration_mmbt.py,sha256=agMAOVRnUrMlA8C6adBRLTuLmt8qG4lm4ykjGwS-qs4,1606
transformers/models/deprecated/mmbt/modeling_mmbt.py,sha256=uiE4HNXfJ0DtptRToRMFbWow0NsuqoHI7toI3DwAsr8,18890
transformers/models/deprecated/retribert/__init__.py,sha256=yMGneTgD7_VaMhXG00Liyvt4digAfyQ_j6Ou55p8iEU,2351
transformers/models/deprecated/retribert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/retribert/__pycache__/configuration_retribert.cpython-38.pyc,,
transformers/models/deprecated/retribert/__pycache__/modeling_retribert.cpython-38.pyc,,
transformers/models/deprecated/retribert/__pycache__/tokenization_retribert.cpython-38.pyc,,
transformers/models/deprecated/retribert/__pycache__/tokenization_retribert_fast.cpython-38.pyc,,
transformers/models/deprecated/retribert/configuration_retribert.py,sha256=qmX6-SyBknJJMnNBmW5GHYGvHEHoFti7opPDdl9VuD8,5407
transformers/models/deprecated/retribert/modeling_retribert.py,sha256=pT9VHCn8k7_Zrj61lvybMYweOxAlauYO8mz5ErlRhI4,9465
transformers/models/deprecated/retribert/tokenization_retribert.py,sha256=MYPP8hIG5HhYuuinMKR6vkQ0v7jfDKsACa_Ew74lfQE,22586
transformers/models/deprecated/retribert/tokenization_retribert_fast.py,sha256=9uPYH8AokAXS9MWWAQxkWqNe-i0_nmg2tX1UNRqZqzU,9017
transformers/models/deprecated/tapex/__init__.py,sha256=lQutKYtwbU8ztPva0tyRnnV-zOWw6rxkGyoOUSuvnUo,926
transformers/models/deprecated/tapex/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/tapex/__pycache__/tokenization_tapex.cpython-38.pyc,,
transformers/models/deprecated/tapex/tokenization_tapex.py,sha256=UmcbpIdyaJnOC4t82X20F8yDH4e1GlFlp77mRv2hnSY,65003
transformers/models/deprecated/trajectory_transformer/__init__.py,sha256=NZl7qNHOSc-VlOFIvhh4iSpn_fyGHZ8k7a9WXXG5HGg,2077
transformers/models/deprecated/trajectory_transformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/trajectory_transformer/__pycache__/configuration_trajectory_transformer.cpython-38.pyc,,
transformers/models/deprecated/trajectory_transformer/__pycache__/convert_trajectory_transformer_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/deprecated/trajectory_transformer/__pycache__/modeling_trajectory_transformer.cpython-38.pyc,,
transformers/models/deprecated/trajectory_transformer/configuration_trajectory_transformer.py,sha256=F8GDdOMGDyH1rnobhzKPVB8QOOtE4vZPuf3zj-tlyTk,7413
transformers/models/deprecated/trajectory_transformer/convert_trajectory_transformer_original_pytorch_checkpoint_to_pytorch.py,sha256=9jmCO1yueIbzUUvOHCl62XDCG4ExTkvsgRVCe-aBG7U,3139
transformers/models/deprecated/trajectory_transformer/modeling_trajectory_transformer.py,sha256=sVKK6F3uiJfnBV-uqystuIqW1Xm0w-FgQOs0AXw8w_c,26203
transformers/models/deprecated/van/__init__.py,sha256=LfVeE-QGxQJS0QZhWPmPD9s2yX5Pk9iA5NK90CkoyQQ,1728
transformers/models/deprecated/van/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deprecated/van/__pycache__/configuration_van.cpython-38.pyc,,
transformers/models/deprecated/van/__pycache__/convert_van_to_pytorch.cpython-38.pyc,,
transformers/models/deprecated/van/__pycache__/modeling_van.cpython-38.pyc,,
transformers/models/deprecated/van/configuration_van.py,sha256=KidmkZsoVCjECu25ynFe8rz-sF_LqJ4Dol5aocbWUEU,4837
transformers/models/deprecated/van/convert_van_to_pytorch.py,sha256=KW-0r4GVcmH_EzxC-qsdUn5TJw4TEl0wmUKPnJPYZaw,10374
transformers/models/deprecated/van/modeling_van.py,sha256=aHpJYxCbjSBwocp_KnKobI7TH4vRQi8bi3LiJK27IsY,21576
transformers/models/deta/__init__.py,sha256=eHgP2aY7a0Of2OkxgCPavzEYvqk2etS3aqXD23Zd3Rc,2205
transformers/models/deta/__pycache__/__init__.cpython-38.pyc,,
transformers/models/deta/__pycache__/configuration_deta.cpython-38.pyc,,
transformers/models/deta/__pycache__/convert_deta_resnet_to_pytorch.cpython-38.pyc,,
transformers/models/deta/__pycache__/convert_deta_swin_to_pytorch.cpython-38.pyc,,
transformers/models/deta/__pycache__/image_processing_deta.cpython-38.pyc,,
transformers/models/deta/__pycache__/modeling_deta.cpython-38.pyc,,
transformers/models/deta/configuration_deta.py,sha256=4XkQXYblAXdLkXT2Ywz5tpKZHOJkBJHQpyFf1T5cFmw,11931
transformers/models/deta/convert_deta_resnet_to_pytorch.py,sha256=r-beTAdmCNONvgIPQmIf890KgDQmdi8mRoDkSWoumJg,16833
transformers/models/deta/convert_deta_swin_to_pytorch.py,sha256=WL18erfLKYr7-pmcHC5i5t6it7EnSagPsuHs5VEgLEA,19031
transformers/models/deta/image_processing_deta.py,sha256=o2bmUj9UbOepEOpWFWPF9iGOGc1fB6FBmFG0gkUMp_U,42393
transformers/models/deta/modeling_deta.py,sha256=GprHIsGy2a14zngt0xXytOSq5TvXu7M2SjXZVJvKSCk,135049
transformers/models/detr/__init__.py,sha256=dWemW6cL_QLOXK3i2uoP6ywKNrjVkpw8IXeQYbs0HfA,2438
transformers/models/detr/__pycache__/__init__.cpython-38.pyc,,
transformers/models/detr/__pycache__/configuration_detr.cpython-38.pyc,,
transformers/models/detr/__pycache__/convert_detr_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/detr/__pycache__/convert_detr_to_pytorch.cpython-38.pyc,,
transformers/models/detr/__pycache__/feature_extraction_detr.cpython-38.pyc,,
transformers/models/detr/__pycache__/image_processing_detr.cpython-38.pyc,,
transformers/models/detr/__pycache__/modeling_detr.cpython-38.pyc,,
transformers/models/detr/configuration_detr.py,sha256=XrKftu3GO0mRxm_WFNVHedUNTwVB-6K-0ossnWOozfg,13243
transformers/models/detr/convert_detr_original_pytorch_checkpoint_to_pytorch.py,sha256=_4fQ1N3Zat1x1r-Gr3FosWuV3pW3yFKQQgM9MKujmbY,13561
transformers/models/detr/convert_detr_to_pytorch.py,sha256=_E63l9rWZUfwSHCfJbz-HoIDT4hxAwoHRKXj1Ni03AA,18993
transformers/models/detr/feature_extraction_detr.py,sha256=_NlOEAJnEz2l_7i8EgwGQDl2TDX6lMEDDOQHvSmNLPw,1172
transformers/models/detr/image_processing_detr.py,sha256=8RIfaJ6vfaTUT8TYZaSm87FePXGmb32IYEVOc8J8v4A,78319
transformers/models/detr/modeling_detr.py,sha256=6WedgxDw3oTEINNHW3c7EJTw14BA3Uy5FtgLxocYvlQ,111497
transformers/models/dialogpt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/models/dialogpt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/dialogpt/__pycache__/convert_dialogpt_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/dialogpt/convert_dialogpt_original_pytorch_checkpoint_to_pytorch.py,sha256=Zp59TmLBKEs-x1-quZZeqARhpS3cTnnmgT4nCI0zsHY,1537
transformers/models/dinat/__init__.py,sha256=Jt3EAbCCZcBjJD_sEane9NU0btqsFkOTqz6JkUtmY_4,1812
transformers/models/dinat/__pycache__/__init__.cpython-38.pyc,,
transformers/models/dinat/__pycache__/configuration_dinat.cpython-38.pyc,,
transformers/models/dinat/__pycache__/modeling_dinat.cpython-38.pyc,,
transformers/models/dinat/configuration_dinat.py,sha256=F63hj6kjy2AePN9VbJb4qNA82a5scqSF30AFqvkLvHI,7399
transformers/models/dinat/modeling_dinat.py,sha256=69g6dJkbh5e_mH2NSMAM6jyiXaT_8w0MdxyxxLWSUx4,41810
transformers/models/distilbert/__init__.py,sha256=64w_AOUP-vupRT6bGlQF7Ak24rJB5AX58n1V8V_aHM0,5167
transformers/models/distilbert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/distilbert/__pycache__/configuration_distilbert.cpython-38.pyc,,
transformers/models/distilbert/__pycache__/modeling_distilbert.cpython-38.pyc,,
transformers/models/distilbert/__pycache__/modeling_flax_distilbert.cpython-38.pyc,,
transformers/models/distilbert/__pycache__/modeling_tf_distilbert.cpython-38.pyc,,
transformers/models/distilbert/__pycache__/tokenization_distilbert.cpython-38.pyc,,
transformers/models/distilbert/__pycache__/tokenization_distilbert_fast.cpython-38.pyc,,
transformers/models/distilbert/configuration_distilbert.py,sha256=JLerNJH7aWQssTQJxoiB0fNrpQYJroZBZ3LkpNBNraU,6978
transformers/models/distilbert/modeling_distilbert.py,sha256=fGAzC4pMQpFZaAxscKwDwJixnasct8BrU38V0uh3CC4,51793
transformers/models/distilbert/modeling_flax_distilbert.py,sha256=34hhMUwbcFYpCo7gxoIGM_JyFMtdo3tTwYQ8A-HPKwA,32621
transformers/models/distilbert/modeling_tf_distilbert.py,sha256=mfclq-KxAQlLm9E1kGPQJr-4mEsNmdcpXjrrjIh4mT0,42933
transformers/models/distilbert/tokenization_distilbert.py,sha256=10f-e5u7h1ebLsxD3Uff6-x5jKFEq20-TXBwb07Oov4,23599
transformers/models/distilbert/tokenization_distilbert_fast.py,sha256=Zn0xKGJdn1V9tU7ALFVHIDTCYleDOq5i_Ap9qdILAtA,10708
transformers/models/dit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/models/dit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/dit/__pycache__/convert_dit_unilm_to_pytorch.cpython-38.pyc,,
transformers/models/dit/convert_dit_unilm_to_pytorch.py,sha256=qoCC3Hm-enjzLj5LoxjbpP8EaIsyhi3U3PERYYeSt7c,9420
transformers/models/donut/__init__.py,sha256=VraCMZ5ZG0WtYvLmZv-B-gIH5joEM_QdAkiH2iDjLls,2455
transformers/models/donut/__pycache__/__init__.cpython-38.pyc,,
transformers/models/donut/__pycache__/configuration_donut_swin.cpython-38.pyc,,
transformers/models/donut/__pycache__/convert_donut_to_pytorch.cpython-38.pyc,,
transformers/models/donut/__pycache__/feature_extraction_donut.cpython-38.pyc,,
transformers/models/donut/__pycache__/image_processing_donut.cpython-38.pyc,,
transformers/models/donut/__pycache__/modeling_donut_swin.cpython-38.pyc,,
transformers/models/donut/__pycache__/processing_donut.cpython-38.pyc,,
transformers/models/donut/configuration_donut_swin.py,sha256=sFrGF3_MC17Ahx85TdZfbXfMM6M4S7i_xYatz0KziXQ,5981
transformers/models/donut/convert_donut_to_pytorch.py,sha256=0IgQ3V9hNWPOJ6KtOfowhVMfTh1m4WEVLOAQSMEGjJE,9316
transformers/models/donut/feature_extraction_donut.py,sha256=jBSpDfoiCg_IWr4gcphIcxs7DA760JnH6V6hAfaoYPM,1179
transformers/models/donut/image_processing_donut.py,sha256=vEUQxuhWneO3CNRZTUTbGTK-nVs-6XNL50S_So8tlVs,19857
transformers/models/donut/modeling_donut_swin.py,sha256=bf0hLqvQRpv75RcsiG-Gw7gLkZfEULWRjrpmzZX4gec,43709
transformers/models/donut/processing_donut.py,sha256=WeS0hHlW9e5jRjHHY-pQnJltUuaoTxLiPrxw4aa3sts,8095
transformers/models/dpr/__init__.py,sha256=qc_Fe-hF94ZxS9cfEXCp9h7-tkmi9Tj4KV9h_wg6yhs,4535
transformers/models/dpr/__pycache__/__init__.cpython-38.pyc,,
transformers/models/dpr/__pycache__/configuration_dpr.cpython-38.pyc,,
transformers/models/dpr/__pycache__/convert_dpr_original_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/dpr/__pycache__/modeling_dpr.cpython-38.pyc,,
transformers/models/dpr/__pycache__/modeling_tf_dpr.cpython-38.pyc,,
transformers/models/dpr/__pycache__/tokenization_dpr.cpython-38.pyc,,
transformers/models/dpr/__pycache__/tokenization_dpr_fast.cpython-38.pyc,,
transformers/models/dpr/configuration_dpr.py,sha256=d3BczLDdLQ8Z1h1gg5YzVBxnNAGO13zu1gBg2we4ZNk,7262
transformers/models/dpr/convert_dpr_original_checkpoint_to_pytorch.py,sha256=ZXYKH4nKB0oc-pOj5_6_m2P1Ze4WClabrmEZLaNcyvI,6096
transformers/models/dpr/modeling_dpr.py,sha256=6R21DuVbrZHD8gGvlFpvquT3NZ8bX1XgQLcDxH8WCZU,28581
transformers/models/dpr/modeling_tf_dpr.py,sha256=0r9tn-yCNEOddW1GsP2kjJ4LoD4wvjFkplDEDDICWlA,31966
transformers/models/dpr/tokenization_dpr.py,sha256=MonNVmQeNBUp328ReY-hNux9hxgY0zghl_2utZLq1Gk,19789
transformers/models/dpr/tokenization_dpr_fast.py,sha256=x4f1UxOzkygehKv6RYr7Gh4_BbDYU7NEzn5s29mSubw,20175
transformers/models/dpt/__init__.py,sha256=WoC0ADjpTTkspHtgIX_TtHXXG-4t8S-NGgJaAUiG-q4,2444
transformers/models/dpt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/dpt/__pycache__/configuration_dpt.cpython-38.pyc,,
transformers/models/dpt/__pycache__/convert_dpt_hybrid_to_pytorch.cpython-38.pyc,,
transformers/models/dpt/__pycache__/convert_dpt_to_pytorch.cpython-38.pyc,,
transformers/models/dpt/__pycache__/feature_extraction_dpt.cpython-38.pyc,,
transformers/models/dpt/__pycache__/image_processing_dpt.cpython-38.pyc,,
transformers/models/dpt/__pycache__/modeling_dpt.cpython-38.pyc,,
transformers/models/dpt/configuration_dpt.py,sha256=weESOpHRS1MIqKQiKz65uCBiykXXDbgbw8jdCga7Kug,11302
transformers/models/dpt/convert_dpt_hybrid_to_pytorch.py,sha256=czo2aHnDSZZqv2qwpx48s1dRTg25v-R5giSg4seNebE,12994
transformers/models/dpt/convert_dpt_to_pytorch.py,sha256=dXmW4TbT7yeAfESrXlGlAev-A37bvEy6U0sgsNOpQUU,11781
transformers/models/dpt/feature_extraction_dpt.py,sha256=ZgBcSKNDX0_Fstv94sp1r9jpr9zvXCLPwvIek76Fkso,1165
transformers/models/dpt/image_processing_dpt.py,sha256=KvQkPz2U5fkLV5Fl9drk4_22HQu7NquYrEYkr38nunc,18212
transformers/models/dpt/modeling_dpt.py,sha256=0fBhyhBC3E8Iw3N1keWrjQC8mhDdUyeY2u6rmXQ_sMc,54912
transformers/models/efficientformer/__init__.py,sha256=hFVX-KUt3FRIjqb_MzHVif_h8r9FFezpRtRwFKLBKuY,3550
transformers/models/efficientformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/efficientformer/__pycache__/configuration_efficientformer.cpython-38.pyc,,
transformers/models/efficientformer/__pycache__/convert_efficientformer_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/efficientformer/__pycache__/image_processing_efficientformer.cpython-38.pyc,,
transformers/models/efficientformer/__pycache__/modeling_efficientformer.cpython-38.pyc,,
transformers/models/efficientformer/__pycache__/modeling_tf_efficientformer.cpython-38.pyc,,
transformers/models/efficientformer/configuration_efficientformer.py,sha256=SVqPRlF4ZdcExlycpBVwqsHY7lGEQqDZ9uW3Dk1v0aE,7919
transformers/models/efficientformer/convert_efficientformer_original_pytorch_checkpoint_to_pytorch.py,sha256=1ni0wyhRjTbF8U4BZ_FXU-_9Jzy43HMLKI3vGlyPjFc,9381
transformers/models/efficientformer/image_processing_efficientformer.py,sha256=DNXQaicZWL0D6D5SEreBOLMC9nDr1JLCvcY1ptVnAfE,16416
transformers/models/efficientformer/modeling_efficientformer.py,sha256=dfmRugRL0eIskBcy_IVcMIP__M6UmSu2XFMhyxiFygA,33848
transformers/models/efficientformer/modeling_tf_efficientformer.py,sha256=7bfILqiMhBBEHJK0paCxskwTWSwzAyncXhqhY_aOoXw,40444
transformers/models/efficientnet/__init__.py,sha256=mS43eilPqqiySKV0CZ34jg1SPUJa2zc6qyCwwRoJQFM,2670
transformers/models/efficientnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/efficientnet/__pycache__/configuration_efficientnet.cpython-38.pyc,,
transformers/models/efficientnet/__pycache__/convert_efficientnet_to_pytorch.cpython-38.pyc,,
transformers/models/efficientnet/__pycache__/image_processing_efficientnet.cpython-38.pyc,,
transformers/models/efficientnet/__pycache__/modeling_efficientnet.cpython-38.pyc,,
transformers/models/efficientnet/configuration_efficientnet.py,sha256=XdlsWi6W-l3z_jYXK7HTFjXfOEA4Ajm08Y9a4SioUx0,7750
transformers/models/efficientnet/convert_efficientnet_to_pytorch.py,sha256=e2Na1xvNc7z9XvvI7v6v1V2uFWr88MSTN3JPKR5GstM,12756
transformers/models/efficientnet/image_processing_efficientnet.py,sha256=TOfROyCSddllZ0RbAaMdcizSdEjozdj5JtLntmaFcjs,16724
transformers/models/efficientnet/modeling_efficientnet.py,sha256=8qX6_teLFB2aE2Nu9ThuP8CUIRLsKa1zOao_OzJNJEM,24389
transformers/models/electra/__init__.py,sha256=UVRK4T71rPHmZYRbrQ_-5eu98Gfrkp6I9SA3KVVCcYQ,5257
transformers/models/electra/__pycache__/__init__.cpython-38.pyc,,
transformers/models/electra/__pycache__/configuration_electra.cpython-38.pyc,,
transformers/models/electra/__pycache__/convert_electra_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/electra/__pycache__/modeling_electra.cpython-38.pyc,,
transformers/models/electra/__pycache__/modeling_flax_electra.cpython-38.pyc,,
transformers/models/electra/__pycache__/modeling_tf_electra.cpython-38.pyc,,
transformers/models/electra/__pycache__/tokenization_electra.cpython-38.pyc,,
transformers/models/electra/__pycache__/tokenization_electra_fast.cpython-38.pyc,,
transformers/models/electra/configuration_electra.py,sha256=qbtAnIi-HWtRdurIPFqrGiz13csUYfQs0s4qar03GAk,9927
transformers/models/electra/convert_electra_original_tf_checkpoint_to_pytorch.py,sha256=iwbjp9v26TfI9iIRdR4KWv-zsrxVNbfgkUwn9N1WHaM,2862
transformers/models/electra/modeling_electra.py,sha256=ARjA2oGH_r6JIwHiqGVpGx_frdwzedd_tmN1W87_Ag0,75769
transformers/models/electra/modeling_flax_electra.py,sha256=VwSZYzLQbnF8wlk3SMtnvME8ZYynFiD-e5uDI-F8Beo,62265
transformers/models/electra/modeling_tf_electra.py,sha256=u-iVeyNEfIxW2v-B__lEefgVemN7xpEX2l_z1cpUEXE,69406
transformers/models/electra/tokenization_electra.py,sha256=YQ7zYAA9JHhYjC0NEERcmi1QzMuPVOdIONO1tVxaJ40,22677
transformers/models/electra/tokenization_electra_fast.py,sha256=5TBWP2Gw-6xLXtQeskZ2rzi4a4bTMRdMN1ba-8-9du8,10495
transformers/models/encodec/__init__.py,sha256=LVz0exnSENNu1jnGsAoPoS7LfXgC-H7s3_lbwNEX_Dw,1910
transformers/models/encodec/__pycache__/__init__.cpython-38.pyc,,
transformers/models/encodec/__pycache__/configuration_encodec.cpython-38.pyc,,
transformers/models/encodec/__pycache__/convert_encodec_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/encodec/__pycache__/feature_extraction_encodec.cpython-38.pyc,,
transformers/models/encodec/__pycache__/modeling_encodec.cpython-38.pyc,,
transformers/models/encodec/configuration_encodec.py,sha256=grgYooC5C1mtPb9Pk7UW220mRScgQTCOqmZWRGQS3hI,8749
transformers/models/encodec/convert_encodec_checkpoint_to_pytorch.py,sha256=zF2ZSOCFsiMNvtIvRhjoucoF2G3m0nW-cHXimF_2uwQ,15253
transformers/models/encodec/feature_extraction_encodec.py,sha256=luYd1uGvvQC_mDYlUsnMtSBn_S0dhbazYJ9zYGuQ1Kc,9873
transformers/models/encodec/modeling_encodec.py,sha256=Dp86Zn_uvysUTftyntYFChfmISOBAmOVGDfCB27D3fg,33479
transformers/models/encoder_decoder/__init__.py,sha256=bR1yPbuqKHUYXaxI_QuDz6ccBSWpCr0THhPBM3lnttA,2451
transformers/models/encoder_decoder/__pycache__/__init__.cpython-38.pyc,,
transformers/models/encoder_decoder/__pycache__/configuration_encoder_decoder.cpython-38.pyc,,
transformers/models/encoder_decoder/__pycache__/modeling_encoder_decoder.cpython-38.pyc,,
transformers/models/encoder_decoder/__pycache__/modeling_flax_encoder_decoder.cpython-38.pyc,,
transformers/models/encoder_decoder/__pycache__/modeling_tf_encoder_decoder.cpython-38.pyc,,
transformers/models/encoder_decoder/configuration_encoder_decoder.py,sha256=mBMAtBT8_yh5xVePUNOfvJNGvO2Jd5Z3wQx3jyPC8hg,4840
transformers/models/encoder_decoder/modeling_encoder_decoder.py,sha256=aYaY_yKdXD3VLlklIazc0vWC220loe2GeVts6_J2ONs,35803
transformers/models/encoder_decoder/modeling_flax_encoder_decoder.py,sha256=LY9LLfei0ukjQ8iAvosXDsVwv2c36qHUuIzeexSsjK0,43812
transformers/models/encoder_decoder/modeling_tf_encoder_decoder.py,sha256=pT32b4aHydlj7_LHvWxtSAmaJsoiVHCwMyB-2HBVp7s,34302
transformers/models/ernie/__init__.py,sha256=s0oBhpPU0MdftoAKWUbo3VR2D9VPTvjPde4NBylw5qI,2331
transformers/models/ernie/__pycache__/__init__.cpython-38.pyc,,
transformers/models/ernie/__pycache__/configuration_ernie.cpython-38.pyc,,
transformers/models/ernie/__pycache__/modeling_ernie.cpython-38.pyc,,
transformers/models/ernie/configuration_ernie.py,sha256=ALQQV6rcoIkExd5WzEMkNiwKu_KfDjE1dewpyMEuzjQ,8884
transformers/models/ernie/modeling_ernie.py,sha256=FWqrw7NeffkSxDJe46uDJPanhhMROak9ScPbpSSobk0,84083
transformers/models/ernie_m/__init__.py,sha256=0neb_RuFu2HBnM3QZ5XRTBI9j8jzppR90ssXHH9LpGA,2637
transformers/models/ernie_m/__pycache__/__init__.cpython-38.pyc,,
transformers/models/ernie_m/__pycache__/configuration_ernie_m.cpython-38.pyc,,
transformers/models/ernie_m/__pycache__/modeling_ernie_m.cpython-38.pyc,,
transformers/models/ernie_m/__pycache__/tokenization_ernie_m.cpython-38.pyc,,
transformers/models/ernie_m/configuration_ernie_m.py,sha256=rX1nGUiSCtxZbpKNlVp0cPoEeTyJIpbPkLJVyF80Mng,6190
transformers/models/ernie_m/modeling_ernie_m.py,sha256=casqjhH1eSVhzRsnjDOQJn3ImtZ7OgWBcaBE08Mtung,47827
transformers/models/ernie_m/tokenization_ernie_m.py,sha256=5Kh5ww4r8qJfi4kvhNlWPuZ_hLScE7DYE0WiHz_S4wM,17113
transformers/models/esm/__init__.py,sha256=IfHOSRyzJHTD8eVSelVu_ijHcYnRp0Umm6hZGsoFYHQ,2978
transformers/models/esm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/esm/__pycache__/configuration_esm.cpython-38.pyc,,
transformers/models/esm/__pycache__/convert_esm.cpython-38.pyc,,
transformers/models/esm/__pycache__/modeling_esm.cpython-38.pyc,,
transformers/models/esm/__pycache__/modeling_esmfold.cpython-38.pyc,,
transformers/models/esm/__pycache__/modeling_tf_esm.cpython-38.pyc,,
transformers/models/esm/__pycache__/tokenization_esm.cpython-38.pyc,,
transformers/models/esm/configuration_esm.py,sha256=N-2k5s3rttELKdzvCi0uP--sgK_VtdAEwaY1LRZOpF0,14558
transformers/models/esm/convert_esm.py,sha256=vYicdhVHcZhlaKSSXrI3xQSwG9L0K8xOzDOr8o2vSJY,18476
transformers/models/esm/modeling_esm.py,sha256=o9xRydlpvhRGxjS7aGmyMCwN3LW6vYQ6ZsHjjNRpJ74,55911
transformers/models/esm/modeling_esmfold.py,sha256=V1jLE9HhuQ7kxyDMbIhCEbDv7xs4YG3vDod6h_9Afk0,86749
transformers/models/esm/modeling_tf_esm.py,sha256=b99d974I7kJH6S5uyV3p8yel6cndLVl8qqVv2FyUUX8,60870
transformers/models/esm/openfold_utils/__init__.py,sha256=Xy2uqvFsLC8Ax-OOce5PgoBDiZgEJgJPqs__p5SBWUY,446
transformers/models/esm/openfold_utils/__pycache__/__init__.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/chunk_utils.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/data_transforms.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/feats.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/loss.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/protein.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/residue_constants.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/rigid_utils.cpython-38.pyc,,
transformers/models/esm/openfold_utils/__pycache__/tensor_utils.cpython-38.pyc,,
transformers/models/esm/openfold_utils/chunk_utils.py,sha256=eyd0NSdGIVBr9gLuI-3VI5cjJr46wYa9hlYBq1L1gCU,14392
transformers/models/esm/openfold_utils/data_transforms.py,sha256=F4wGANRhKLd6MLHrwg2IxpqCxCJEx8aFSxqAdsXsBMo,3764
transformers/models/esm/openfold_utils/feats.py,sha256=dgLcLJriW-eDIBdc0MyKPDT5w0POab9QLuN56qE8wsk,8376
transformers/models/esm/openfold_utils/loss.py,sha256=wY2ONqbuRvWMomjkpfPwfoa7dqCO2vFkM-kmNfhjivo,3705
transformers/models/esm/openfold_utils/protein.py,sha256=x9NK6bryLs9vNi3j8OfOlw0Jb1cFrwMhCi6JdxkDdQw,11490
transformers/models/esm/openfold_utils/residue_constants.py,sha256=KDcdOt5wkJ7cO7p-LtmS8sLIzfQ2ej7p40Re8EsTkv0,37993
transformers/models/esm/openfold_utils/rigid_utils.py,sha256=EF79POBO-abRsdXrfdKLaqJUVIPp4EOMFVt5oOjx504,41122
transformers/models/esm/openfold_utils/tensor_utils.py,sha256=A07D5psNs5lGgWJp_kzJgrY8cmWmaL3odDgKXN1NVAE,4798
transformers/models/esm/tokenization_esm.py,sha256=5ChOGbExbuHlby7yQZhZMhKnnB4hqcuiCtoIPbv0kZ8,6015
transformers/models/falcon/__init__.py,sha256=Sf4eyG7aJ4pQoqLJXStTSTxP7iEHks73GWe9QjAnU3w,2067
transformers/models/falcon/__pycache__/__init__.cpython-38.pyc,,
transformers/models/falcon/__pycache__/configuration_falcon.cpython-38.pyc,,
transformers/models/falcon/__pycache__/modeling_falcon.cpython-38.pyc,,
transformers/models/falcon/configuration_falcon.py,sha256=19Tn3mVBiduBjV7rQrqTleAIJJ5f1sVXFdrv8q48rnU,6683
transformers/models/falcon/modeling_falcon.py,sha256=ZTRqofnoTwM4rmLEV14uzXhng0DtOcC-Tv6E50r1xjo,56890
transformers/models/flaubert/__init__.py,sha256=neN63qn5CVIfPSr50g0WhbrcKDT7w0qIljyqSCxbqLI,3488
transformers/models/flaubert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/flaubert/__pycache__/configuration_flaubert.cpython-38.pyc,,
transformers/models/flaubert/__pycache__/modeling_flaubert.cpython-38.pyc,,
transformers/models/flaubert/__pycache__/modeling_tf_flaubert.cpython-38.pyc,,
transformers/models/flaubert/__pycache__/tokenization_flaubert.cpython-38.pyc,,
transformers/models/flaubert/configuration_flaubert.py,sha256=9elLZSProrYsw3CwMsyM24Q3bbKCwmWRGg-RMcay9T0,11706
transformers/models/flaubert/modeling_flaubert.py,sha256=RemOdoVh0EZM1WTCg4FFA2Zj42eipmAdaamN7AlGlA8,57659
transformers/models/flaubert/modeling_tf_flaubert.py,sha256=djpp8byb4WTdTFsavDpKfqNp8Rea4oUlic0ikpG11wE,52304
transformers/models/flaubert/tokenization_flaubert.py,sha256=lhvwNPamJQgzZ50Wh-xBf1ygqk8RphskISppo3SsO0o,24019
transformers/models/flava/__init__.py,sha256=TtPrEOob3V4Lk_NK3rgacXw0jJ2ABWKPnLP8x4uSs4I,3030
transformers/models/flava/__pycache__/__init__.cpython-38.pyc,,
transformers/models/flava/__pycache__/configuration_flava.cpython-38.pyc,,
transformers/models/flava/__pycache__/convert_dalle_to_flava_codebook.cpython-38.pyc,,
transformers/models/flava/__pycache__/convert_flava_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/flava/__pycache__/feature_extraction_flava.cpython-38.pyc,,
transformers/models/flava/__pycache__/image_processing_flava.cpython-38.pyc,,
transformers/models/flava/__pycache__/modeling_flava.cpython-38.pyc,,
transformers/models/flava/__pycache__/processing_flava.cpython-38.pyc,,
transformers/models/flava/configuration_flava.py,sha256=sxc8CC-1IGYlSl6A3y4rAWhHvykTzJfw3804TJ8iy8o,37956
transformers/models/flava/convert_dalle_to_flava_codebook.py,sha256=iEJM9W_cKk3HK0gKS6i2ygEMeyymWCMl18LDaQXRAhY,3428
transformers/models/flava/convert_flava_original_pytorch_to_hf.py,sha256=LilQpbe6qeN2P_uXljae6zEPx_KoepoRv4uvCEAo0QA,4372
transformers/models/flava/feature_extraction_flava.py,sha256=mA1uAn29yv9PV7gYXauz0VTAJDgcpl9DPHvH99Ed__s,1201
transformers/models/flava/image_processing_flava.py,sha256=9xVFqqlA_TEm0uFJ9qO2hVpG5efdr_8jujoA8LMCrDs,36878
transformers/models/flava/modeling_flava.py,sha256=eiGG04eckE8x16vGp5PT5OajXIgymxiq8qirse8a1RU,96717
transformers/models/flava/processing_flava.py,sha256=YYmCyoNJV_idhAFulL6VPDdVWsXDl0GRAcuSojShm68,6807
transformers/models/fnet/__init__.py,sha256=spzYrdM_-MVYRr6Axeh_adtgX1pCDAsUJEpR-cPdxgE,3179
transformers/models/fnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/fnet/__pycache__/configuration_fnet.cpython-38.pyc,,
transformers/models/fnet/__pycache__/convert_fnet_original_flax_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/fnet/__pycache__/modeling_fnet.cpython-38.pyc,,
transformers/models/fnet/__pycache__/tokenization_fnet.cpython-38.pyc,,
transformers/models/fnet/__pycache__/tokenization_fnet_fast.cpython-38.pyc,,
transformers/models/fnet/configuration_fnet.py,sha256=GjosP7Vxb9znoXhYQxbmc9dPYFf0khe49ozalasr6DU,5839
transformers/models/fnet/convert_fnet_original_flax_checkpoint_to_pytorch.py,sha256=bxrdtJbyINwJtiIpagL3Ttkq0D5ujBK1Wi72fIR2vss,6912
transformers/models/fnet/modeling_fnet.py,sha256=TcrtB9oh27zqVhdlpUIGj30RokHnQnlkZv28CsUbyE4,49473
transformers/models/fnet/tokenization_fnet.py,sha256=m9wKvluwpdMTAduMxY-59XsjgoHAjHOEoxGau9vgmOM,15847
transformers/models/fnet/tokenization_fnet_fast.py,sha256=8RnzkGZjhLxKoED8QCiZffeXWDiz5lspfYhK0GTefaA,8558
transformers/models/focalnet/__init__.py,sha256=RPvCimVzndLWR8r1MfUbrAiQTJEvJ6VGTM1OFmAS9-A,1989
transformers/models/focalnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/focalnet/__pycache__/configuration_focalnet.cpython-38.pyc,,
transformers/models/focalnet/__pycache__/convert_focalnet_to_hf_format.cpython-38.pyc,,
transformers/models/focalnet/__pycache__/modeling_focalnet.cpython-38.pyc,,
transformers/models/focalnet/configuration_focalnet.py,sha256=YrUxUE_bp9Jr9iox00uteUV3tG38N8VPIxgEsq_ciW4,8013
transformers/models/focalnet/convert_focalnet_to_hf_format.py,sha256=xBoop7K4unfPawCbmlv7BTQHpbJkaUWasrwsw8dW_KI,9450
transformers/models/focalnet/modeling_focalnet.py,sha256=2JUX8KzBzb8mSHWGTEiwi0sbWeAd2BiQ9Zb__DfdeUU,43585
transformers/models/fsmt/__init__.py,sha256=e0xh51cBRMFkSYEcmZzyINHoXBKwgonWv3zEPqZuMYE,1675
transformers/models/fsmt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/fsmt/__pycache__/configuration_fsmt.cpython-38.pyc,,
transformers/models/fsmt/__pycache__/convert_fsmt_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/fsmt/__pycache__/modeling_fsmt.cpython-38.pyc,,
transformers/models/fsmt/__pycache__/tokenization_fsmt.cpython-38.pyc,,
transformers/models/fsmt/configuration_fsmt.py,sha256=vahSXANNPm9cIBN5IIBqor5pSbtcT7NRSynOSQ7Zz0c,10579
transformers/models/fsmt/convert_fsmt_original_pytorch_checkpoint_to_pytorch.py,sha256=BWtn90XQAuWGp8k9zns5St9On_os395ESNgkaXy6y2g,11264
transformers/models/fsmt/modeling_fsmt.py,sha256=a-owUphdBe4rO2y9g_Q4QZHF6ubAqD8PNPuEAGrnOT4,58083
transformers/models/fsmt/tokenization_fsmt.py,sha256=8mFD4UKtTuzypH3EwARE2YVmYanuqR3fhdL-o0pS7ds,20127
transformers/models/funnel/__init__.py,sha256=QQgGGD4BfFL3j1qtC1oNuuagXUPYWw0KJ4XVKTzMvW0,4126
transformers/models/funnel/__pycache__/__init__.cpython-38.pyc,,
transformers/models/funnel/__pycache__/configuration_funnel.cpython-38.pyc,,
transformers/models/funnel/__pycache__/convert_funnel_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/funnel/__pycache__/modeling_funnel.cpython-38.pyc,,
transformers/models/funnel/__pycache__/modeling_tf_funnel.cpython-38.pyc,,
transformers/models/funnel/__pycache__/tokenization_funnel.cpython-38.pyc,,
transformers/models/funnel/__pycache__/tokenization_funnel_fast.cpython-38.pyc,,
transformers/models/funnel/configuration_funnel.py,sha256=1w6-3QDAdCvoaD9GghucxVGl7uU-OQWEZ13_jZ7d6m8,8894
transformers/models/funnel/convert_funnel_original_tf_checkpoint_to_pytorch.py,sha256=fdaL7-j0ZWjCKvvpS_gFYHBthQ8TFbGmkOmfd53enaI,2335
transformers/models/funnel/modeling_funnel.py,sha256=srkU4CcRPu93Ev_UVpV57V3cea7vHgj_bDjICF0VGDM,69831
transformers/models/funnel/modeling_tf_funnel.py,sha256=vj1A2CMT4nF6Pliwe_omdJRFPfQQOQ4WLjIdLw18t-o,73093
transformers/models/funnel/tokenization_funnel.py,sha256=aau1_R-7oPvK1IV2sqlXQGG_04ww_oZ1hyaHZKJL5NQ,24023
transformers/models/funnel/tokenization_funnel_fast.py,sha256=CkdpYGtVkRbGke_buZ65BGI79nBv-a44ftvlOvTMMuU,11794
transformers/models/git/__init__.py,sha256=KG0HrIdVgj64GVVUk32IdidJRaC5BcjQZt62oVRL5Eo,1888
transformers/models/git/__pycache__/__init__.cpython-38.pyc,,
transformers/models/git/__pycache__/configuration_git.cpython-38.pyc,,
transformers/models/git/__pycache__/convert_git_to_pytorch.cpython-38.pyc,,
transformers/models/git/__pycache__/modeling_git.cpython-38.pyc,,
transformers/models/git/__pycache__/processing_git.cpython-38.pyc,,
transformers/models/git/configuration_git.py,sha256=dSS37MDhBWmXfiukuAJW9mDxpfjLcb1LUVbJ8_BT3bk,11822
transformers/models/git/convert_git_to_pytorch.py,sha256=BN77iJeh73bZdj1_T4mBINsvJ3AaJNdu41p9QpXTgig,21976
transformers/models/git/modeling_git.py,sha256=1cKr5rUYsIPdtcXTvzPPrzCfVG_RBQohU4ox9Q363qY,69494
transformers/models/git/processing_git.py,sha256=Zf4XhKEY0L3ie8n2fjbfX1ajDKbkQIbloocoEJYBkG4,5486
transformers/models/glpn/__init__.py,sha256=-5zqCuk1phx-Bjw3Mq-NJmPvusXfEYcNGIrFO27vr3s,2384
transformers/models/glpn/__pycache__/__init__.cpython-38.pyc,,
transformers/models/glpn/__pycache__/configuration_glpn.cpython-38.pyc,,
transformers/models/glpn/__pycache__/convert_glpn_to_pytorch.cpython-38.pyc,,
transformers/models/glpn/__pycache__/feature_extraction_glpn.cpython-38.pyc,,
transformers/models/glpn/__pycache__/image_processing_glpn.cpython-38.pyc,,
transformers/models/glpn/__pycache__/modeling_glpn.cpython-38.pyc,,
transformers/models/glpn/configuration_glpn.py,sha256=TO7WbG4oLEI777k8-oMndkW6X22vpCYKVXrm1tQRWTI,6183
transformers/models/glpn/convert_glpn_to_pytorch.py,sha256=dT5q2vCISTu1DjoTkLSyHmlcR75n_CGhXxxknL5KjJQ,8558
transformers/models/glpn/feature_extraction_glpn.py,sha256=S263LFeHVRym_jKt8KkTOjjtA1_BqARnUgbSFExgPN4,1172
transformers/models/glpn/image_processing_glpn.py,sha256=dVC_UYzm32UrMe_1OWkFPl093qiB8JbQETbx1l0YjJk,8864
transformers/models/glpn/modeling_glpn.py,sha256=K8r0asmwmZluB3-CR8duYjDYQ25gWrPkBrgCx9glw2g,31527
transformers/models/gpt2/__init__.py,sha256=d_QyBAIVXohGlkOMWC9r03kE9uS2IHwXwPCsxnMGGkg,4674
transformers/models/gpt2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/configuration_gpt2.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/convert_gpt2_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/modeling_flax_gpt2.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/modeling_gpt2.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/modeling_tf_gpt2.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/tokenization_gpt2.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/tokenization_gpt2_fast.cpython-38.pyc,,
transformers/models/gpt2/__pycache__/tokenization_gpt2_tf.cpython-38.pyc,,
transformers/models/gpt2/configuration_gpt2.py,sha256=OmQn1nDqb8FavDwjfCDWZ1N5DtiaUVE516EXDGz2c2o,12134
transformers/models/gpt2/convert_gpt2_original_tf_checkpoint_to_pytorch.py,sha256=nRAxbikMz9v88rDqfrX8OwPvBKe7fiYC2fg-6BB8Mzk,2532
transformers/models/gpt2/modeling_flax_gpt2.py,sha256=Cp5OTow8kbEWr3f_aU838HblRB5XzwCMLjUG1gSamaQ,31960
transformers/models/gpt2/modeling_gpt2.py,sha256=bcsNYmx6us2k8ky0sRGoVH15kSl1e8JtqVTXCK02xrg,76173
transformers/models/gpt2/modeling_tf_gpt2.py,sha256=ng248mH0V-2QO4dI00jYhbNGk2nhvS4reFD6Vms9OLo,51678
transformers/models/gpt2/tokenization_gpt2.py,sha256=W9EpCGAHOj_0qMhAw4dwsGbxjcLxiA9UXOK15NnX5zs,14425
transformers/models/gpt2/tokenization_gpt2_fast.py,sha256=m9M2EKNr5a49g19MDbvkWiKeFigQb8M1BiJQFjiTmtE,8054
transformers/models/gpt2/tokenization_gpt2_tf.py,sha256=-LQ5vx4bI-Jb8FmJd7TJIdaAxPSpNTV1Hn63RinC7BA,3763
transformers/models/gpt_bigcode/__init__.py,sha256=waW0WeT6jgb8gWpaGmMZBJCYoqKzCbaQbyjHZkuEARE,2037
transformers/models/gpt_bigcode/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gpt_bigcode/__pycache__/configuration_gpt_bigcode.cpython-38.pyc,,
transformers/models/gpt_bigcode/__pycache__/modeling_gpt_bigcode.cpython-38.pyc,,
transformers/models/gpt_bigcode/configuration_gpt_bigcode.py,sha256=wx2iMdoaWmm8_aAIqyO0fEFNw3m3riQLBXc9sU3R2Sc,6448
transformers/models/gpt_bigcode/modeling_gpt_bigcode.py,sha256=HV6_0AldsfQZ3YRJcvb0_K3GpXZwEHmAEKuwNVBu7k8,48056
transformers/models/gpt_neo/__init__.py,sha256=tCBf4wXQijfaRh959WfU7_npuc1na00rwCZCgcxuTOo,2718
transformers/models/gpt_neo/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gpt_neo/__pycache__/configuration_gpt_neo.cpython-38.pyc,,
transformers/models/gpt_neo/__pycache__/convert_gpt_neo_mesh_tf_to_pytorch.cpython-38.pyc,,
transformers/models/gpt_neo/__pycache__/modeling_flax_gpt_neo.cpython-38.pyc,,
transformers/models/gpt_neo/__pycache__/modeling_gpt_neo.cpython-38.pyc,,
transformers/models/gpt_neo/configuration_gpt_neo.py,sha256=Z4m4n32WEeNahqRiUrfkpBI46inocf02FZGGSS-rcWE,12058
transformers/models/gpt_neo/convert_gpt_neo_mesh_tf_to_pytorch.py,sha256=SSlCsIZmkN010Cu64F4lxwHcQRsqEGbb7a6PqCSWJY0,2589
transformers/models/gpt_neo/modeling_flax_gpt_neo.py,sha256=vt_srhBvttEeu2DV6v2Xb7Akwea8taNCCAeKsh6kqWE,28080
transformers/models/gpt_neo/modeling_gpt_neo.py,sha256=93mqsmgHKGDDuPjQEn1AORgIphsSMx8EdldI2CqxwR0,47938
transformers/models/gpt_neox/__init__.py,sha256=NETOJyNfZJ1SXJ4jc1heeVs2TMqXjlbminmJQKSnLnA,2595
transformers/models/gpt_neox/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gpt_neox/__pycache__/configuration_gpt_neox.cpython-38.pyc,,
transformers/models/gpt_neox/__pycache__/modeling_gpt_neox.cpython-38.pyc,,
transformers/models/gpt_neox/__pycache__/tokenization_gpt_neox_fast.cpython-38.pyc,,
transformers/models/gpt_neox/configuration_gpt_neox.py,sha256=V1XQ0qOkCr5-PbvmsjzU3kudSucT2GcZRqLXLkNAS1s,8824
transformers/models/gpt_neox/modeling_gpt_neox.py,sha256=n-SAv-AClidazifvn_ekFS_corqcHPf150fpxmdlt00,51180
transformers/models/gpt_neox/tokenization_gpt_neox_fast.py,sha256=WHTTf-twxfS5Lh96EoR-E6fxJtdiSatRG2v0Kpk2aeg,5797
transformers/models/gpt_neox_japanese/__init__.py,sha256=7S5Q5Y8aQPbcoaPjIVo7s9ebHh0GLv3cA1TeAhzvFFA,2154
transformers/models/gpt_neox_japanese/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gpt_neox_japanese/__pycache__/configuration_gpt_neox_japanese.cpython-38.pyc,,
transformers/models/gpt_neox_japanese/__pycache__/modeling_gpt_neox_japanese.cpython-38.pyc,,
transformers/models/gpt_neox_japanese/__pycache__/tokenization_gpt_neox_japanese.cpython-38.pyc,,
transformers/models/gpt_neox_japanese/configuration_gpt_neox_japanese.py,sha256=6VfOWlVOIUOeH2hzbeIEu4FB7pZl1GtaAmOo3b2hGFY,5729
transformers/models/gpt_neox_japanese/modeling_gpt_neox_japanese.py,sha256=mv9DSCs84JQHCy9PLUp1TCAOE9wEWi1-fe8DDmSCDyE,32308
transformers/models/gpt_neox_japanese/tokenization_gpt_neox_japanese.py,sha256=6HFEQSAjYSrzE4jRZPoUrerdpC7UL_SzHvmAjz6ihuQ,17328
transformers/models/gpt_sw3/__init__.py,sha256=qJj7vF8ES37BwsKbJE1zV2rPUdmM3vx8mckIFuWrJSU,1361
transformers/models/gpt_sw3/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gpt_sw3/__pycache__/convert_megatron_to_pytorch.cpython-38.pyc,,
transformers/models/gpt_sw3/__pycache__/tokenization_gpt_sw3.cpython-38.pyc,,
transformers/models/gpt_sw3/convert_megatron_to_pytorch.py,sha256=11EGXgi73zwRchm4aMlHE7tCom4_oGLQSWF1YMpBBQA,8156
transformers/models/gpt_sw3/tokenization_gpt_sw3.py,sha256=365lNhfcJG03kRtnrLPJncbpwlqXAM-ZYqSwu2lewtM,14759
transformers/models/gptj/__init__.py,sha256=wBErGYabUQpzDULOVQSE9vEvefKWJvJFoU9p0t54qDU,3280
transformers/models/gptj/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gptj/__pycache__/configuration_gptj.cpython-38.pyc,,
transformers/models/gptj/__pycache__/modeling_flax_gptj.cpython-38.pyc,,
transformers/models/gptj/__pycache__/modeling_gptj.cpython-38.pyc,,
transformers/models/gptj/__pycache__/modeling_tf_gptj.cpython-38.pyc,,
transformers/models/gptj/configuration_gptj.py,sha256=S9sONfwcDY0CVObEXo-ONHJg1gOu6XI-9UHzJm9J-50,8996
transformers/models/gptj/modeling_flax_gptj.py,sha256=h6xWJ4A0gsTQYFDMzGnfcYb55J-Q6rZj_cu1liSekt4,28517
transformers/models/gptj/modeling_gptj.py,sha256=1GZ_33zQZ3G9L9Z1ViPocv7z_7ut8qKyjV3SYNPiyQo,49873
transformers/models/gptj/modeling_tf_gptj.py,sha256=APg5jIYF321ij7hH0t0YHlXMFwnTo8u1s0R8-INAC1o,44030
transformers/models/gptsan_japanese/__init__.py,sha256=gkfCyeWUjR_u2kxoe0nD-gLdcFoS4SwjhQBNufTY86w,2294
transformers/models/gptsan_japanese/__pycache__/__init__.cpython-38.pyc,,
transformers/models/gptsan_japanese/__pycache__/configuration_gptsan_japanese.cpython-38.pyc,,
transformers/models/gptsan_japanese/__pycache__/convert_gptsan_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/gptsan_japanese/__pycache__/modeling_gptsan_japanese.cpython-38.pyc,,
transformers/models/gptsan_japanese/__pycache__/tokenization_gptsan_japanese.cpython-38.pyc,,
transformers/models/gptsan_japanese/configuration_gptsan_japanese.py,sha256=rcjvTjZXnYjiRXhvit-h3h3n_tS-Tozh82YfTxsVnJg,7329
transformers/models/gptsan_japanese/convert_gptsan_tf_checkpoint_to_pytorch.py,sha256=syF4TCbLQByZhm5VqIFgXfzQ4zImmCua8UNjCYJP5t8,9793
transformers/models/gptsan_japanese/modeling_gptsan_japanese.py,sha256=crnuKnPxLxCFtIBKwDUkFTHBsfFkdCMSnJ7GnRL6JwU,67099
transformers/models/gptsan_japanese/tokenization_gptsan_japanese.py,sha256=_jG71QEpFpP5IpbQ_msMQ8t5Cpo99iysCsv2D7DW0hw,24556
transformers/models/graphormer/__init__.py,sha256=SCL3NOPe62lQVk-qWrJD1enP6JNBWyPreg5EGaifjbE,1873
transformers/models/graphormer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/graphormer/__pycache__/collating_graphormer.cpython-38.pyc,,
transformers/models/graphormer/__pycache__/configuration_graphormer.cpython-38.pyc,,
transformers/models/graphormer/__pycache__/modeling_graphormer.cpython-38.pyc,,
transformers/models/graphormer/algos_graphormer.pyx,sha256=b_Qlm1hKCHnAqx6oOLGC9LkivAV0K_AZRGgXT9MmBas,3635
transformers/models/graphormer/collating_graphormer.py,sha256=1r_YqrFzC6uWCaPCsGMqNkvHNKs6SCV1bSw2qLyAYJA,6086
transformers/models/graphormer/configuration_graphormer.py,sha256=u-NZdropPc-1hLsmQxj9zcyPLq54Q9Epgy_E3tS2_bI,10401
transformers/models/graphormer/modeling_graphormer.py,sha256=cK5k8fKSE1ZEvVwWKzunIKIdCgkwft9OXaeALZzxYSU,37407
transformers/models/groupvit/__init__.py,sha256=rO2THuhEVPYRh__0tgdPS9egtqSugEkoXU4lDMAg3q0,2875
transformers/models/groupvit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/groupvit/__pycache__/configuration_groupvit.cpython-38.pyc,,
transformers/models/groupvit/__pycache__/convert_groupvit_nvlab_to_hf.cpython-38.pyc,,
transformers/models/groupvit/__pycache__/modeling_groupvit.cpython-38.pyc,,
transformers/models/groupvit/__pycache__/modeling_tf_groupvit.cpython-38.pyc,,
transformers/models/groupvit/configuration_groupvit.py,sha256=rH0HSfZ2ZQpKcGW7GKEnc81T6WrIlAM80PNqLvhOMTc,21413
transformers/models/groupvit/convert_groupvit_nvlab_to_hf.py,sha256=9gQxkcjVNCP5lvV54SbbSsOjkKCHORcoiwq2gcczYCM,9775
transformers/models/groupvit/modeling_groupvit.py,sha256=Ixwsz6rLyCVz6X4uveNY6MwPlBmmEiHi8itB1LUYTCk,68613
transformers/models/groupvit/modeling_tf_groupvit.py,sha256=yTCjN6SJLz1Ac6t4uH0Hnzk3UmyYwMzqfe_v8TnNF1c,77841
transformers/models/herbert/__init__.py,sha256=Sp9gQIqlUhZHausuaL2MFYDqJW4vvsVGLbVryR-kNl0,1472
transformers/models/herbert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/herbert/__pycache__/tokenization_herbert.cpython-38.pyc,,
transformers/models/herbert/__pycache__/tokenization_herbert_fast.cpython-38.pyc,,
transformers/models/herbert/tokenization_herbert.py,sha256=HnhkidndjgjgUvQiAifNEHdxs3WvUBJ3sskqhjecnA4,25665
transformers/models/herbert/tokenization_herbert_fast.py,sha256=RmXQlJtd_l75QrDCYTli6Gny4-brixe9LVJfjNFSL4s,6549
transformers/models/hubert/__init__.py,sha256=rfeBnkDY2iMz8xs_cZY4wSMSxoXQeVQov-C42xhA0eE,2536
transformers/models/hubert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/hubert/__pycache__/configuration_hubert.cpython-38.pyc,,
transformers/models/hubert/__pycache__/convert_distilhubert_original_s3prl_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/hubert/__pycache__/convert_hubert_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/hubert/__pycache__/convert_hubert_original_s3prl_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/hubert/__pycache__/modeling_hubert.cpython-38.pyc,,
transformers/models/hubert/__pycache__/modeling_tf_hubert.cpython-38.pyc,,
transformers/models/hubert/configuration_hubert.py,sha256=Q7C8DoNy7Qag23PLKZGu-opmGw9d7Ri4laW3095H8uI,14760
transformers/models/hubert/convert_distilhubert_original_s3prl_checkpoint_to_pytorch.py,sha256=ENEJNVBI7j5N6ajvUnNEAfSIM6VfEmpI8dF86R4EDog,8942
transformers/models/hubert/convert_hubert_original_pytorch_checkpoint_to_pytorch.py,sha256=tVrpW4Mqkymh6pcLdYdTtkl0ykhSkHNvfTefbBIpR7w,10380
transformers/models/hubert/convert_hubert_original_s3prl_checkpoint_to_pytorch.py,sha256=BtUOQ6Jf7kppeKreWA76AvQNdy_a63t2iuq0yHvEs4E,2895
transformers/models/hubert/modeling_hubert.py,sha256=1jRqH1wcYSGWDo1QvPsFvgHApgky_0nc5-Vgmy8U5MA,60942
transformers/models/hubert/modeling_tf_hubert.py,sha256=pSbVjADI-xDl5FcjvUykoKSPay9tK36XdSVS4p34JtQ,63209
transformers/models/ibert/__init__.py,sha256=uw-Mi7HIih0Or_1DeCK7Ooc20kBdmqokZ6GEDwOD9LU,2086
transformers/models/ibert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/ibert/__pycache__/configuration_ibert.cpython-38.pyc,,
transformers/models/ibert/__pycache__/modeling_ibert.cpython-38.pyc,,
transformers/models/ibert/__pycache__/quant_modules.cpython-38.pyc,,
transformers/models/ibert/configuration_ibert.py,sha256=Y-SWRF56CuLQpoDRgayeOI6mVIFJtBQE80wGY75cT0g,7462
transformers/models/ibert/modeling_ibert.py,sha256=IYF-nQSVlCmAUiQiM9E_t1RRBgeIkBXW9to4KRVQgug,56703
transformers/models/ibert/quant_modules.py,sha256=ItU76CIx0XcZCPOR21dz99J9k5rK2fzffQz0jJCuNmM,30072
transformers/models/imagegpt/__init__.py,sha256=aPsv_YVn82O_HHaFDIsYqe8bR8hs3sk1RUlcCtaUWcc,2658
transformers/models/imagegpt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/imagegpt/__pycache__/configuration_imagegpt.cpython-38.pyc,,
transformers/models/imagegpt/__pycache__/convert_imagegpt_original_tf2_to_pytorch.cpython-38.pyc,,
transformers/models/imagegpt/__pycache__/feature_extraction_imagegpt.cpython-38.pyc,,
transformers/models/imagegpt/__pycache__/image_processing_imagegpt.cpython-38.pyc,,
transformers/models/imagegpt/__pycache__/modeling_imagegpt.cpython-38.pyc,,
transformers/models/imagegpt/configuration_imagegpt.py,sha256=oVgzGNNlNNH_pYSnKA4Qd5iVX69p2csJeCcxvrVH0bM,8866
transformers/models/imagegpt/convert_imagegpt_original_tf2_to_pytorch.py,sha256=yneGtcrTR4Ui38NG8ogK7N_4dAyTiVBkmc8JQERb2bs,2691
transformers/models/imagegpt/feature_extraction_imagegpt.py,sha256=iCpQ4tU3Vml44KgO43kYJvv-RcZVxe8tc794gxUktuU,1200
transformers/models/imagegpt/image_processing_imagegpt.py,sha256=j5hP0WABqpvodI080ObIWMMaQ0YbtOAea-DJtpLiSGg,10808
transformers/models/imagegpt/modeling_imagegpt.py,sha256=8NfHhgk9rPybdlypOrMg8qu38Vfv9pPPu9tr_BwmhD8,53849
transformers/models/informer/__init__.py,sha256=VylZIY0U5EuIfEuvphPh-gCCgBtwRAByccv11nsTA5Q,1857
transformers/models/informer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/informer/__pycache__/configuration_informer.cpython-38.pyc,,
transformers/models/informer/__pycache__/modeling_informer.cpython-38.pyc,,
transformers/models/informer/configuration_informer.py,sha256=1U3ewchtdJ8fm6wfx3IX8JE4-kTBmZ2XAQeaNokGO3Y,12684
transformers/models/informer/modeling_informer.py,sha256=2awhqEbbjoswEU31TPnbG_Hm9wSnMUWQNEvS9bG6zA8,103554
transformers/models/instructblip/__init__.py,sha256=GpbqWHExuUvlsDeouDhVv-f_etjU9Dwm006DwFiAMEg,2279
transformers/models/instructblip/__pycache__/__init__.cpython-38.pyc,,
transformers/models/instructblip/__pycache__/configuration_instructblip.cpython-38.pyc,,
transformers/models/instructblip/__pycache__/convert_instructblip_original_to_pytorch.cpython-38.pyc,,
transformers/models/instructblip/__pycache__/modeling_instructblip.cpython-38.pyc,,
transformers/models/instructblip/__pycache__/processing_instructblip.cpython-38.pyc,,
transformers/models/instructblip/configuration_instructblip.py,sha256=0rsDJtJo0qEU_4cLekkqpaRCiHrivzPUevsavY00hgI,17867
transformers/models/instructblip/convert_instructblip_original_to_pytorch.py,sha256=KAzRkE6iitIMZvmHqTt9ZnOFg8j6tKG1Q5LdTcgugzQ,13387
transformers/models/instructblip/modeling_instructblip.py,sha256=jwZCkgVn1nvqvtZe1U7xWE6bMHa4JwwmdxBT_Y18EZ0,70206
transformers/models/instructblip/processing_instructblip.py,sha256=KCBSZs-2p6nNJUegSRBCjqfLqo92ZVTosJcGylYKcCQ,7855
transformers/models/jukebox/__init__.py,sha256=kZx3ZvfTUb90bEGC0UVrqOfoJvIWSBrUOR701WATaHI,2084
transformers/models/jukebox/__pycache__/__init__.cpython-38.pyc,,
transformers/models/jukebox/__pycache__/configuration_jukebox.cpython-38.pyc,,
transformers/models/jukebox/__pycache__/convert_jukebox.cpython-38.pyc,,
transformers/models/jukebox/__pycache__/modeling_jukebox.cpython-38.pyc,,
transformers/models/jukebox/__pycache__/tokenization_jukebox.cpython-38.pyc,,
transformers/models/jukebox/configuration_jukebox.py,sha256=oW3g3GZeJzt8PUdQ76JLVfwz1JoE4xdf5Ac-m4uvrsQ,27873
transformers/models/jukebox/convert_jukebox.py,sha256=RBgOPbwIMv_42mUFJYxRv4IAGZn4cAzjTqjrMI7HtVg,11789
transformers/models/jukebox/modeling_jukebox.py,sha256=agpQO9h99JBgyI41TCtCPWVcK0IuCb1C5UnZq1GykmA,119653
transformers/models/jukebox/tokenization_jukebox.py,sha256=4H2nEQ428NKZWKPC-zCK06bXJR9iH0SSea5IzYgAJdI,17740
transformers/models/layoutlm/__init__.py,sha256=x-7_rGXFn-NroxQIFjQru0Rz5VfmQmINEhahNPm7R8w,3787
transformers/models/layoutlm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/layoutlm/__pycache__/configuration_layoutlm.cpython-38.pyc,,
transformers/models/layoutlm/__pycache__/modeling_layoutlm.cpython-38.pyc,,
transformers/models/layoutlm/__pycache__/modeling_tf_layoutlm.cpython-38.pyc,,
transformers/models/layoutlm/__pycache__/tokenization_layoutlm.cpython-38.pyc,,
transformers/models/layoutlm/__pycache__/tokenization_layoutlm_fast.cpython-38.pyc,,
transformers/models/layoutlm/configuration_layoutlm.py,sha256=xkN4Le8tQQtQC4Fj5zTprSbjwO-8Aq_rCcxJx3u0TNU,9513
transformers/models/layoutlm/modeling_layoutlm.py,sha256=5E8g6t1-_0q1Y3AXFN93Ru5_U04HqHgbmX0FaY60DuI,61080
transformers/models/layoutlm/modeling_tf_layoutlm.py,sha256=c8feSAeVde4kNyaUQndEpfd4mvj--DY1TbZv4cSzE9M,65594
transformers/models/layoutlm/tokenization_layoutlm.py,sha256=jgETvQRr_6S8gVVfpMbeXMfbFhhOmm49Ubu4j1yvhC8,21698
transformers/models/layoutlm/tokenization_layoutlm_fast.py,sha256=h_VxIFiDVmJNcuO70Q3Gl_lVlR2QM4IVBKcpIBy6QgA,8967
transformers/models/layoutlmv2/__init__.py,sha256=Ue5kj1_LyJNklq6UPXvNuaAXj_gadMT8lXxwQwIPsvY,3439
transformers/models/layoutlmv2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/layoutlmv2/__pycache__/configuration_layoutlmv2.cpython-38.pyc,,
transformers/models/layoutlmv2/__pycache__/feature_extraction_layoutlmv2.cpython-38.pyc,,
transformers/models/layoutlmv2/__pycache__/image_processing_layoutlmv2.cpython-38.pyc,,
transformers/models/layoutlmv2/__pycache__/modeling_layoutlmv2.cpython-38.pyc,,
transformers/models/layoutlmv2/__pycache__/processing_layoutlmv2.cpython-38.pyc,,
transformers/models/layoutlmv2/__pycache__/tokenization_layoutlmv2.cpython-38.pyc,,
transformers/models/layoutlmv2/__pycache__/tokenization_layoutlmv2_fast.cpython-38.pyc,,
transformers/models/layoutlmv2/configuration_layoutlmv2.py,sha256=AdpDD3k_SdFJXYgSgCC7bDvQOdSHktUY9IMfJ0SZ0wI,11247
transformers/models/layoutlmv2/feature_extraction_layoutlmv2.py,sha256=M9bDCpKBLI5paxor4ioa2JjEDhSH9Np-PTbgHh2V9KI,1195
transformers/models/layoutlmv2/image_processing_layoutlmv2.py,sha256=LShAr-LDJsdiJA83z9pYo0Ee6dbZO8hdGilLiAojCCA,11287
transformers/models/layoutlmv2/modeling_layoutlmv2.py,sha256=AgoLcELHl8-OmBwAasVuz9v9fK8QDgrWbmu9dR0U3M8,61575
transformers/models/layoutlmv2/processing_layoutlmv2.py,sha256=tjZktlo5E0iKqul22tgQndtIStqSwmCeJOkjI5L2EsE,9267
transformers/models/layoutlmv2/tokenization_layoutlmv2.py,sha256=tN446_U52js55KiLvtcPX58Y04l5FJj9Xm8a4myt9kM,72412
transformers/models/layoutlmv2/tokenization_layoutlmv2_fast.py,sha256=CcVmZyBTfxIksP9kLYhv49ifDPUF8mND8oqGwGtLf-I,38073
transformers/models/layoutlmv3/__init__.py,sha256=A4PpxK2Rhqx_ybVzlT5h9W6SyRSwndLqD5-eVKBz4ok,4512
transformers/models/layoutlmv3/__pycache__/__init__.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/configuration_layoutlmv3.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/feature_extraction_layoutlmv3.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/image_processing_layoutlmv3.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/modeling_layoutlmv3.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/modeling_tf_layoutlmv3.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/processing_layoutlmv3.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/tokenization_layoutlmv3.cpython-38.pyc,,
transformers/models/layoutlmv3/__pycache__/tokenization_layoutlmv3_fast.cpython-38.pyc,,
transformers/models/layoutlmv3/configuration_layoutlmv3.py,sha256=5auTHhsIBepJf7EcliDSsmp4AA6_yB66hg0lBHxhtjY,13363
transformers/models/layoutlmv3/feature_extraction_layoutlmv3.py,sha256=jWsmsi2mym0meek1lHWqfqxlJgMJdY3cgfQ_4ASEbto,1195
transformers/models/layoutlmv3/image_processing_layoutlmv3.py,sha256=16_yuUsWJGCiZhKbduIicIsB989VY5umt6VE28ko5rI,16742
transformers/models/layoutlmv3/modeling_layoutlmv3.py,sha256=0SCdZkKBitHRSAJEdXcGnAWVWoBN1WSr-pTI6azykoI,60927
transformers/models/layoutlmv3/modeling_tf_layoutlmv3.py,sha256=OvF7zPWtM1UMCpTdfEnM5pSGI5mgzJjlrO8Ur2T_l3g,67864
transformers/models/layoutlmv3/processing_layoutlmv3.py,sha256=pT4q1FvccLUJgEsoBYIg8wSrIlJ3WvGeHo_hReyZNXU,9118
transformers/models/layoutlmv3/tokenization_layoutlmv3.py,sha256=kVBlqta6o6SXvJLcOYzRLadnIHKP5hXH8JZtUxifW5s,72788
transformers/models/layoutlmv3/tokenization_layoutlmv3_fast.py,sha256=FyBazrusyKa5dffeIwoLPhf1MQBkMb9NrFJrv4J0gQ8,40311
transformers/models/layoutxlm/__init__.py,sha256=AIvjzuqRPFXFuWXxnOlp9pBXaIT5Zzx7fwtg2KKVETA,2037
transformers/models/layoutxlm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/layoutxlm/__pycache__/processing_layoutxlm.cpython-38.pyc,,
transformers/models/layoutxlm/__pycache__/tokenization_layoutxlm.cpython-38.pyc,,
transformers/models/layoutxlm/__pycache__/tokenization_layoutxlm_fast.cpython-38.pyc,,
transformers/models/layoutxlm/processing_layoutxlm.py,sha256=CGd-AD1ISD5e96e14K-2IUTMDhHSc3ZN6fiYmp4A1wM,9218
transformers/models/layoutxlm/tokenization_layoutxlm.py,sha256=pWwIsWDNanuS9NLdHO3WepSt6RkJIDOpc7Ybqjzsamw,57669
transformers/models/layoutxlm/tokenization_layoutxlm_fast.py,sha256=OgSlEQcdk0603_gwqTBxPThy4hrcfrZ8H7dBE1nIjVQ,39911
transformers/models/led/__init__.py,sha256=9CdjSo8a3H8LyFlzOxCmUUZG2icbvPJ_Q_hFcaKBf4E,3008
transformers/models/led/__pycache__/__init__.cpython-38.pyc,,
transformers/models/led/__pycache__/configuration_led.cpython-38.pyc,,
transformers/models/led/__pycache__/modeling_led.cpython-38.pyc,,
transformers/models/led/__pycache__/modeling_tf_led.cpython-38.pyc,,
transformers/models/led/__pycache__/tokenization_led.cpython-38.pyc,,
transformers/models/led/__pycache__/tokenization_led_fast.cpython-38.pyc,,
transformers/models/led/configuration_led.py,sha256=FEqWPoGsrJtZss8_atfBvTipD02lPlabarcac5vSeQg,7633
transformers/models/led/modeling_led.py,sha256=W4kCoYsffo5v_tf9V244zFUeaH2oGxmgEU4xri2LwRU,139950
transformers/models/led/modeling_tf_led.py,sha256=l5ST8YiGBA3uBOaT0Oob2AcI3JvIHKs8ilyns1KY-lM,116584
transformers/models/led/tokenization_led.py,sha256=Okah_WgrbauRiLhzYOx1ZYkq1_bAULKBih_U85na3ck,20406
transformers/models/led/tokenization_led_fast.py,sha256=nt4KIMUKu68uKPo0nNaMoqWm0_Ii_yqhw7lQPfDnhPM,14871
transformers/models/levit/__init__.py,sha256=bn2rphZqhhv59V7XPWBSS3nntAk8n8qi8o9uhqmi2do,2508
transformers/models/levit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/levit/__pycache__/configuration_levit.cpython-38.pyc,,
transformers/models/levit/__pycache__/convert_levit_timm_to_pytorch.cpython-38.pyc,,
transformers/models/levit/__pycache__/feature_extraction_levit.cpython-38.pyc,,
transformers/models/levit/__pycache__/image_processing_levit.cpython-38.pyc,,
transformers/models/levit/__pycache__/modeling_levit.cpython-38.pyc,,
transformers/models/levit/configuration_levit.py,sha256=RJgcRO_8Q8iCHr13a7lxUTbA_EXGeFLP0XCDS0N5EaQ,5930
transformers/models/levit/convert_levit_timm_to_pytorch.py,sha256=HKjk4WPa6DO_2CM0Qy9R3mAEOdbf71DtS-T4uqoQJ9I,6258
transformers/models/levit/feature_extraction_levit.py,sha256=l2RHbrbg9MzRqKr_ErOo_AuiSv93Gj-Oq6w0v2p-Izw,1204
transformers/models/levit/image_processing_levit.py,sha256=9PwXBiiSTdHp1Uz1Iphg3C5m70Q8JUf-1aC_u86Fa4A,17200
transformers/models/levit/modeling_levit.py,sha256=DqYWH0YgA8HI2IupMdvBsxjmtkOgSvZ3Q80Bbn6XbfY,29663
transformers/models/lilt/__init__.py,sha256=bIm8VAW84HA1oTl3ZITLrjMZ9VIyJ4s6_x9R9N767nM,1909
transformers/models/lilt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/lilt/__pycache__/configuration_lilt.cpython-38.pyc,,
transformers/models/lilt/__pycache__/modeling_lilt.cpython-38.pyc,,
transformers/models/lilt/configuration_lilt.py,sha256=5Wwh2cbUM_x_NulOiGsf-gjUDgHq9hfow7maQSFbV-8,6878
transformers/models/lilt/modeling_lilt.py,sha256=bWW9sg94Gb2fT31rz70XuKtzRDGhePRmLfB_eVbIk8Q,53140
transformers/models/llama/__init__.py,sha256=I__mdpPpJRoHb829ycO8rH9p0Ij_gXI3P098uLVXZbU,2665
transformers/models/llama/__pycache__/__init__.cpython-38.pyc,,
transformers/models/llama/__pycache__/configuration_llama.cpython-38.pyc,,
transformers/models/llama/__pycache__/convert_llama_weights_to_hf.cpython-38.pyc,,
transformers/models/llama/__pycache__/modeling_llama.cpython-38.pyc,,
transformers/models/llama/__pycache__/tokenization_llama.cpython-38.pyc,,
transformers/models/llama/__pycache__/tokenization_llama_fast.cpython-38.pyc,,
transformers/models/llama/configuration_llama.py,sha256=DXbPfyifBF-XHyvHz2B7DMB2D_2MFAkxL-b06e-O1Rg,8478
transformers/models/llama/convert_llama_weights_to_hf.py,sha256=kao4RCtd3VVTyR9GA-TPwVOHcbvk3_gdA7UtMhLHVaA,12245
transformers/models/llama/modeling_llama.py,sha256=Kr-Epd02RDMPk8iOA2gxV45AfeepgStUVO8buKGMNCI,45548
transformers/models/llama/tokenization_llama.py,sha256=3kYAKjPHnCU4FqoE_eKXVAjTwXmvXs9hZiCgBGfRo_g,16516
transformers/models/llama/tokenization_llama_fast.py,sha256=iHCJ64vSUstwoSvSrcvV4ajCyH-zCcbSu2Sk23R6FYc,9938
transformers/models/longformer/__init__.py,sha256=mbx6LG2-PW5i_Ntq3kFn1MhnegTVAs0_ZOKAGeMi5ps,4196
transformers/models/longformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/longformer/__pycache__/configuration_longformer.cpython-38.pyc,,
transformers/models/longformer/__pycache__/convert_longformer_original_pytorch_lightning_to_pytorch.cpython-38.pyc,,
transformers/models/longformer/__pycache__/modeling_longformer.cpython-38.pyc,,
transformers/models/longformer/__pycache__/modeling_tf_longformer.cpython-38.pyc,,
transformers/models/longformer/__pycache__/tokenization_longformer.cpython-38.pyc,,
transformers/models/longformer/__pycache__/tokenization_longformer_fast.cpython-38.pyc,,
transformers/models/longformer/configuration_longformer.py,sha256=3wmx8gttEBomoF3SxmErmlD2mWx53fgnRaqmJUklgNI,9564
transformers/models/longformer/convert_longformer_original_pytorch_lightning_to_pytorch.py,sha256=gKyYNmo8Of0j_h6x8JSHaYc6hTyzJFwWETi5KectvFM,3026
transformers/models/longformer/modeling_longformer.py,sha256=tqRtNRXGNylJl8pI7ZGNDeN32G-t0VYLlnd9L7UZpM4,114361
transformers/models/longformer/modeling_tf_longformer.py,sha256=ohJJxNw-hKbD5miieqaf7Y8GBS4xBnA1NovdBao0k8k,121690
transformers/models/longformer/tokenization_longformer.py,sha256=6VtDckyOyxqNRCjn28fz9JgwyqUC-3Kff4V9NtTWqbo,18736
transformers/models/longformer/tokenization_longformer_fast.py,sha256=wYM2F_MHugAFOJlc8236HhcY5NvSGpX-wynbu8uF3H8,14530
transformers/models/longt5/__init__.py,sha256=nN2BIwcwmdcMffrxzPKx9oeVWsHu9wt1BUJYIPWfm3Y,2546
transformers/models/longt5/__pycache__/__init__.cpython-38.pyc,,
transformers/models/longt5/__pycache__/configuration_longt5.cpython-38.pyc,,
transformers/models/longt5/__pycache__/convert_longt5x_checkpoint_to_flax.cpython-38.pyc,,
transformers/models/longt5/__pycache__/modeling_flax_longt5.cpython-38.pyc,,
transformers/models/longt5/__pycache__/modeling_longt5.cpython-38.pyc,,
transformers/models/longt5/configuration_longt5.py,sha256=EY2y-q-8L4kTbpI7wYnFG1rvz-nfN2tGpSHmwTmZ50M,8481
transformers/models/longt5/convert_longt5x_checkpoint_to_flax.py,sha256=5LQpQWNG_8Fc0tU62eYf66RmJzUcb-RynDdrvziZEqw,11089
transformers/models/longt5/modeling_flax_longt5.py,sha256=9QajM1AfoDymcTSmKOEcACRZZFkeBZE95-HWYaoJC14,105640
transformers/models/longt5/modeling_longt5.py,sha256=PNKRMjD7QXexNkq_24T9oMB_eVYtQ9DO5hLgH5MkYxc,105418
transformers/models/luke/__init__.py,sha256=xuqWDYOtcrf1vEC71vfltl8ICWfW7GyU9sP8RWD-iU4,2383
transformers/models/luke/__pycache__/__init__.cpython-38.pyc,,
transformers/models/luke/__pycache__/configuration_luke.cpython-38.pyc,,
transformers/models/luke/__pycache__/convert_luke_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/luke/__pycache__/modeling_luke.cpython-38.pyc,,
transformers/models/luke/__pycache__/tokenization_luke.cpython-38.pyc,,
transformers/models/luke/configuration_luke.py,sha256=HeT6hAmn5YCpXija83g_ykxexBqdyIpichH_gs2Z0uw,6554
transformers/models/luke/convert_luke_original_pytorch_checkpoint_to_pytorch.py,sha256=pfnDfBvJDRyCLBLdcsalZaKV01aEz0W1og2Z364hTDs,7467
transformers/models/luke/modeling_luke.py,sha256=M1OAKvmZ3HL8GxuQ6wBLVXbXHNW4DgIRheeqfP3j5CE,104043
transformers/models/luke/tokenization_luke.py,sha256=7g_WsK5ylruoOIwy8-AFcqFGCmu_Ys2-RFC9zCh0hd8,85386
transformers/models/lxmert/__init__.py,sha256=3rn46z5WOBmOrbr6e7zoIWh4F8Bf3hFBASDY0vxlxbI,3396
transformers/models/lxmert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/lxmert/__pycache__/configuration_lxmert.cpython-38.pyc,,
transformers/models/lxmert/__pycache__/convert_lxmert_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/lxmert/__pycache__/modeling_lxmert.cpython-38.pyc,,
transformers/models/lxmert/__pycache__/modeling_tf_lxmert.cpython-38.pyc,,
transformers/models/lxmert/__pycache__/tokenization_lxmert.cpython-38.pyc,,
transformers/models/lxmert/__pycache__/tokenization_lxmert_fast.cpython-38.pyc,,
transformers/models/lxmert/configuration_lxmert.py,sha256=22CAMxhd6Ez28HL9OSt1JxwVarjThPGPgjxNKwcFuJg,9510
transformers/models/lxmert/convert_lxmert_original_tf_checkpoint_to_pytorch.py,sha256=T3vqC76pis49OXeHODsBSBBDGDe6qnUBckwGOWySmpc,2109
transformers/models/lxmert/modeling_lxmert.py,sha256=F0yZaDGq-DaqdaP2zD3eC0cIkivP3Lw1lUM0fZV6sNw,64955
transformers/models/lxmert/modeling_tf_lxmert.py,sha256=jdZzqdcrwv0WYv_ktByNju3_rAM-FHhyGDJLaGcML7Q,61404
transformers/models/lxmert/tokenization_lxmert.py,sha256=v4tKdRn6V38MPxn2DgV2uAFkwRgx2BzI32q5kBToztA,21421
transformers/models/lxmert/tokenization_lxmert_fast.py,sha256=FlbONh7IbxtTc1RqIn9JnNJ_2HV-RmOk3627ym-4ZT8,8437
transformers/models/m2m_100/__init__.py,sha256=fT84ZTHmw2vMrme8MqfSoPZWSECY-SLXDG0AR8Z1qRc,1992
transformers/models/m2m_100/__pycache__/__init__.cpython-38.pyc,,
transformers/models/m2m_100/__pycache__/configuration_m2m_100.cpython-38.pyc,,
transformers/models/m2m_100/__pycache__/convert_m2m100_original_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/m2m_100/__pycache__/modeling_m2m_100.cpython-38.pyc,,
transformers/models/m2m_100/__pycache__/tokenization_m2m_100.cpython-38.pyc,,
transformers/models/m2m_100/configuration_m2m_100.py,sha256=gW8bv3zVq9DiAyTWwRAGDszcE5IE46ypERInU8LJo7o,13582
transformers/models/m2m_100/convert_m2m100_original_checkpoint_to_pytorch.py,sha256=xNG8NE20odOve8Z1zKPDHJr5Ev8jM30N-mJsJqfsXtM,3159
transformers/models/m2m_100/modeling_m2m_100.py,sha256=HNep-xi9AvRFA8gS4imwOkRST-Iztvi7H_nYnuUFT6U,65535
transformers/models/m2m_100/tokenization_m2m_100.py,sha256=qBib3Huw14jT4lYiDDb_ttr9q_L07cq620VVehRqjuk,17257
transformers/models/marian/__init__.py,sha256=_aQPsVh7jA_BTVbCkRprc2NmnLlkhfEtfJW_1WIwUqI,3444
transformers/models/marian/__pycache__/__init__.cpython-38.pyc,,
transformers/models/marian/__pycache__/configuration_marian.cpython-38.pyc,,
transformers/models/marian/__pycache__/convert_marian_tatoeba_to_pytorch.cpython-38.pyc,,
transformers/models/marian/__pycache__/convert_marian_to_pytorch.cpython-38.pyc,,
transformers/models/marian/__pycache__/modeling_flax_marian.cpython-38.pyc,,
transformers/models/marian/__pycache__/modeling_marian.cpython-38.pyc,,
transformers/models/marian/__pycache__/modeling_tf_marian.cpython-38.pyc,,
transformers/models/marian/__pycache__/tokenization_marian.cpython-38.pyc,,
transformers/models/marian/configuration_marian.py,sha256=thDpgpaBuu2AMvK0BdDtvp1rB2rh6xxEMNcZMJMh_JQ,18558
transformers/models/marian/convert_marian_tatoeba_to_pytorch.py,sha256=N_YEEFgsGy2W-4QxeGD3bIIGNl_oYv64GkTw0WDpiaU,36254
transformers/models/marian/convert_marian_to_pytorch.py,sha256=G-DJhbKhZkYJwKCMTZFi7oqBDrghnJJFpXGJPjqbQ_0,26757
transformers/models/marian/modeling_flax_marian.py,sha256=k5g9G75xWWeMyKWwTQoJ_jC_0OJtcEG3fHHqT_tESk8,64272
transformers/models/marian/modeling_marian.py,sha256=5jfZoB9eBAZS5Zop-Wd0GUhuNiHe0ImviYfkY97EPRA,83338
transformers/models/marian/modeling_tf_marian.py,sha256=TNgt5bt01dYTmhJtfmKUsd-zxay55YCXB-1RBT20fc8,69040
transformers/models/marian/tokenization_marian.py,sha256=08WzMSlI1eXwweC9fYM0rczQs8bk9cQEUDDX9I_YwyI,17662
transformers/models/markuplm/__init__.py,sha256=RjQ4xza9uhSlHJ11ZIHA19o-cWoC88fJvts8zYDOznY,2806
transformers/models/markuplm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/markuplm/__pycache__/configuration_markuplm.cpython-38.pyc,,
transformers/models/markuplm/__pycache__/feature_extraction_markuplm.cpython-38.pyc,,
transformers/models/markuplm/__pycache__/modeling_markuplm.cpython-38.pyc,,
transformers/models/markuplm/__pycache__/processing_markuplm.cpython-38.pyc,,
transformers/models/markuplm/__pycache__/tokenization_markuplm.cpython-38.pyc,,
transformers/models/markuplm/__pycache__/tokenization_markuplm_fast.cpython-38.pyc,,
transformers/models/markuplm/configuration_markuplm.py,sha256=qZc4Cv47xpSxOv3w6AlTsjkJHlA7s1HOed1GLGvfhGU,7571
transformers/models/markuplm/feature_extraction_markuplm.py,sha256=bnMXgCJSENLNDSUuFn-Gi5M_1qOjgRt9oyr_-zpbhEQ,6400
transformers/models/markuplm/modeling_markuplm.py,sha256=xEU0rMref2QAsozCJ_W2xVMsXSrHYJxa432S0b_hp04,57944
transformers/models/markuplm/processing_markuplm.py,sha256=YiKTsmYpCKUV0NaHE3aROPb3gByVhoRFZEx5_zEp3qM,6347
transformers/models/markuplm/tokenization_markuplm.py,sha256=lRswgLqOjqarPyrK9xZV6qH9KQypDUevifQGtnJCJbQ,69705
transformers/models/markuplm/tokenization_markuplm_fast.py,sha256=O8FkuajAtmnEQP6o0LG65B8Eqkykqg96YUY0-4E1wU4,42808
transformers/models/mask2former/__init__.py,sha256=_damTN4svyRG1tenZi3AEmsILg7QVyYbuWR_iXzrbXw,2357
transformers/models/mask2former/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mask2former/__pycache__/configuration_mask2former.cpython-38.pyc,,
transformers/models/mask2former/__pycache__/convert_mask2former_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/mask2former/__pycache__/image_processing_mask2former.cpython-38.pyc,,
transformers/models/mask2former/__pycache__/modeling_mask2former.cpython-38.pyc,,
transformers/models/mask2former/configuration_mask2former.py,sha256=wuGlrSqSQFhkseAr6IwUQG5kc3ojVv9EP4NYg5SOyC4,11404
transformers/models/mask2former/convert_mask2former_original_pytorch_checkpoint_to_pytorch.py,sha256=v4a-VTdnEHxZLAykOn5AgqLXZ9yFZzhY4CUu4c3XHUE,45688
transformers/models/mask2former/image_processing_mask2former.py,sha256=H__M5U80kiqMfn31H4P0SxgXTLyyZRK_5hd5QDPiPRI,50612
transformers/models/mask2former/modeling_mask2former.py,sha256=GH_dAKyUmqQA7a7CcDuzGAunLi9MN5T4Mr7zB8SJG8s,120588
transformers/models/maskformer/__init__.py,sha256=Sy9sX8-Vb9Gnn9gjU34M4pDh3jJZd7vmr5aorB9N5lw,2945
transformers/models/maskformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/configuration_maskformer.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/configuration_maskformer_swin.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/convert_maskformer_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/convert_maskformer_resnet_to_pytorch.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/convert_maskformer_swin_to_pytorch.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/feature_extraction_maskformer.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/image_processing_maskformer.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/modeling_maskformer.cpython-38.pyc,,
transformers/models/maskformer/__pycache__/modeling_maskformer_swin.cpython-38.pyc,,
transformers/models/maskformer/configuration_maskformer.py,sha256=kaGxvszJHQzr12phXXjQrnOcJBqYp9yMtnP0UhjB3OI,9360
transformers/models/maskformer/configuration_maskformer_swin.py,sha256=LNi8fMnbnZdCUiZxqadV16G9sEzNxB2vx8CTJBcyZyY,7054
transformers/models/maskformer/convert_maskformer_original_pytorch_checkpoint_to_pytorch.py,sha256=CEKaBhurc8x3mvE7YMqfULIoybxq0Guj0hGHJouG5s8,32237
transformers/models/maskformer/convert_maskformer_resnet_to_pytorch.py,sha256=iUMC5om4caBO1eSeivN3sZYsbEtYZAeJZE7I1NIygR4,20732
transformers/models/maskformer/convert_maskformer_swin_to_pytorch.py,sha256=-GWvua0iYDbJYZ7VUcywp0rf-jR7iKXz8az9N4r5k_0,20321
transformers/models/maskformer/feature_extraction_maskformer.py,sha256=MMPQuQY2EnK4vixDve-I-PIFqCDWQNYYeVdAYvIY8HY,1214
transformers/models/maskformer/image_processing_maskformer.py,sha256=SL4w2RSUzOaCbJNlo7bTSRO3zU7Q4IEtq-_P8jVIctU,53010
transformers/models/maskformer/modeling_maskformer.py,sha256=Nv3GFKlczQJwRTt21iNR22S10Lf9RJhEmDSLD6pwE6o,89023
transformers/models/maskformer/modeling_maskformer_swin.py,sha256=4j_uDSMS0nHpaHBKBG2D9DUY2O1PxRtWV53W1s52PAY,41045
transformers/models/mbart/__init__.py,sha256=N1NqaZU1QPNt3r2VI3y4sv-XwdBkAtV-41REYSah7w4,4403
transformers/models/mbart/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mbart/__pycache__/configuration_mbart.cpython-38.pyc,,
transformers/models/mbart/__pycache__/convert_mbart_original_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/mbart/__pycache__/modeling_flax_mbart.cpython-38.pyc,,
transformers/models/mbart/__pycache__/modeling_mbart.cpython-38.pyc,,
transformers/models/mbart/__pycache__/modeling_tf_mbart.cpython-38.pyc,,
transformers/models/mbart/__pycache__/tokenization_mbart.cpython-38.pyc,,
transformers/models/mbart/__pycache__/tokenization_mbart_fast.cpython-38.pyc,,
transformers/models/mbart/configuration_mbart.py,sha256=ZSr6xwUC8bVdH3UWrjQO_VPvM-6fCGR15CjDsD0eoTk,18387
transformers/models/mbart/convert_mbart_original_checkpoint_to_pytorch.py,sha256=xVW9Mj-jd7X_MImJCgS52Aok1CGPf-E6u8ptvG1hK8o,3035
transformers/models/mbart/modeling_flax_mbart.py,sha256=2NWjy91FIH9XYdoqtplu4vJBkWhFhxygAYumWMIVpAU,75102
transformers/models/mbart/modeling_mbart.py,sha256=iVP6_uAvO_COrOHfwmn3r8sqkmDj3RcqPFfhUSazoqQ,89498
transformers/models/mbart/modeling_tf_mbart.py,sha256=tx7UJm0gZgiGX8L-nk6r4mKae9smX5kHjy_YnWzizQo,68919
transformers/models/mbart/tokenization_mbart.py,sha256=rzVE0NWcZOlNxG6JXkz06FC7P_fTOBcDPeGetMyeutg,14713
transformers/models/mbart/tokenization_mbart_fast.py,sha256=PxrX6ApXUdwu6YGjsqbBKcFzG5PyOlc8ZdFJ5VRPLRY,11916
transformers/models/mbart50/__init__.py,sha256=5ekQCS9OkL3_5UJXnu7Z5cVeCi76pVgAxHkC8qQ8XKk,1847
transformers/models/mbart50/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mbart50/__pycache__/tokenization_mbart50.cpython-38.pyc,,
transformers/models/mbart50/__pycache__/tokenization_mbart50_fast.cpython-38.pyc,,
transformers/models/mbart50/tokenization_mbart50.py,sha256=_fbOiLXpx5ij5AaSIe6lKK2Jy-qRU51-otbESHtqyus,16666
transformers/models/mbart50/tokenization_mbart50_fast.py,sha256=6667pJl2o7ZWMU5XF2mcQn8uQrVpNV7bmJfmacv22UA,12199
transformers/models/mega/__init__.py,sha256=sJJLSLHF1HMGGOkDRFol40JHptUCxSDiB0yUUbvDVL4,2140
transformers/models/mega/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mega/__pycache__/configuration_mega.cpython-38.pyc,,
transformers/models/mega/__pycache__/convert_mega_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/mega/__pycache__/modeling_mega.cpython-38.pyc,,
transformers/models/mega/configuration_mega.py,sha256=z4Uwo8J5uU4j9P1ahHoOicmZR-fbV0y1R6r2Sh6vszs,12738
transformers/models/mega/convert_mega_original_pytorch_checkpoint_to_pytorch.py,sha256=FK9gAgMB5VEO2Fji39w100ywUJ8wA8utdmWRZFanb2c,13154
transformers/models/mega/modeling_mega.py,sha256=RMmfMbZH0zuQD5uk2Hgkf8n9X0Ro2kgU-zs4eGohEpE,109288
transformers/models/megatron_bert/__init__.py,sha256=TUAneYZq0bKIQqKDcED_EuJhgnzOnWNrNrye_x8KX90,2506
transformers/models/megatron_bert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/megatron_bert/__pycache__/configuration_megatron_bert.cpython-38.pyc,,
transformers/models/megatron_bert/__pycache__/convert_megatron_bert_checkpoint.cpython-38.pyc,,
transformers/models/megatron_bert/__pycache__/modeling_megatron_bert.cpython-38.pyc,,
transformers/models/megatron_bert/configuration_megatron_bert.py,sha256=oMd7Onm9lFy6znA1VFJJtD7buP6voyWXAzZ3LiGLt_4,6573
transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py,sha256=VAMD1MFdVG8w9cQkRfmlZCEvaMgoo-lyFI9deunD5OA,13686
transformers/models/megatron_bert/modeling_megatron_bert.py,sha256=UHki9pGbmbBDG-3iw7ZpVlIDeZ3OdPWV61Zt_z-89Ic,83194
transformers/models/megatron_gpt2/__init__.py,sha256=WycFl9cUevoXIBhB76qKtnNRIPMk2LoTDkmkfAfOy9M,630
transformers/models/megatron_gpt2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/megatron_gpt2/__pycache__/checkpoint_reshaping_and_interoperability.cpython-38.pyc,,
transformers/models/megatron_gpt2/__pycache__/convert_megatron_gpt2_checkpoint.cpython-38.pyc,,
transformers/models/megatron_gpt2/checkpoint_reshaping_and_interoperability.py,sha256=3Smyvgy5ZJwRN-JFxK0IJ6dlGvHh9QMGNVOvwSRDHNg,36651
transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py,sha256=SGuAbuQ08_0Bd1milb0RcchbRR6EeR4S1CKVRrJuNKI,13627
transformers/models/mgp_str/__init__.py,sha256=YMCtFGSXL18Kh4Pm3KTBEgtxlaDDYwb3WnMFsEsaJ-4,2164
transformers/models/mgp_str/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mgp_str/__pycache__/configuration_mgp_str.cpython-38.pyc,,
transformers/models/mgp_str/__pycache__/modeling_mgp_str.cpython-38.pyc,,
transformers/models/mgp_str/__pycache__/processing_mgp_str.cpython-38.pyc,,
transformers/models/mgp_str/__pycache__/tokenization_mgp_str.cpython-38.pyc,,
transformers/models/mgp_str/configuration_mgp_str.py,sha256=SeDLZWTzm6Ukt8nRJt4yMHpA8dG2FtzWDw2Kb-U_nv8,5935
transformers/models/mgp_str/modeling_mgp_str.py,sha256=KRA3SwBt7EunMFoI6CALEFMDOLMeOoE97om0MID37zU,21898
transformers/models/mgp_str/processing_mgp_str.py,sha256=aVzPw-9jycxsPjyDUrXybonv8uyyew-pjRIrD6JMDE8,9244
transformers/models/mgp_str/tokenization_mgp_str.py,sha256=3r_9TyUnbR4IwoYeGTIcgGIv33rGF4JwsiYuiROMbBQ,4068
transformers/models/mluke/__init__.py,sha256=Pj0GBjIU6vYdhEzO7M8O35c5Jj4ivIIGAiLABhN4K7U,1356
transformers/models/mluke/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mluke/__pycache__/convert_mluke_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/mluke/__pycache__/tokenization_mluke.cpython-38.pyc,,
transformers/models/mluke/convert_mluke_original_pytorch_checkpoint_to_pytorch.py,sha256=G6Z94-1_AiilSTU96PSjX_pdgFIx-b_bk8xlMKX5TuE,10185
transformers/models/mluke/tokenization_mluke.py,sha256=B8xE2AFQJknwR2J_eQipm5Ybjk0WkyggPDaMjqQSn-c,81133
transformers/models/mobilebert/__init__.py,sha256=Gpd8kL6D0UrD5ufVg0MjcknSeHhtlLnD3Bkrzqao4Ok,4604
transformers/models/mobilebert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mobilebert/__pycache__/configuration_mobilebert.cpython-38.pyc,,
transformers/models/mobilebert/__pycache__/convert_mobilebert_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/mobilebert/__pycache__/modeling_mobilebert.cpython-38.pyc,,
transformers/models/mobilebert/__pycache__/modeling_tf_mobilebert.cpython-38.pyc,,
transformers/models/mobilebert/__pycache__/tokenization_mobilebert.cpython-38.pyc,,
transformers/models/mobilebert/__pycache__/tokenization_mobilebert_fast.cpython-38.pyc,,
transformers/models/mobilebert/configuration_mobilebert.py,sha256=TqYfHbkkyTqE59UnZh0FX9lQ0KF5Cb7hWTKIApK6CPE,8586
transformers/models/mobilebert/convert_mobilebert_original_tf_checkpoint_to_pytorch.py,sha256=MRW9sorswIo4RiWq7PVVmaZsYm4wJEc1-DhcLzssDRU,2200
transformers/models/mobilebert/modeling_mobilebert.py,sha256=nL6hgMNjpfWc_mtyqxF5eoxvveYopl_LZywQp2cVNW8,70458
transformers/models/mobilebert/modeling_tf_mobilebert.py,sha256=-Nb552acS0rhQrM1hQkiQdoS_2HNVaG3vmOzfXo2bmc,70944
transformers/models/mobilebert/tokenization_mobilebert.py,sha256=muqUWsCxGesRuWcVG5FjdXvGcbbGiKKeF3GIMNAhovY,21304
transformers/models/mobilebert/tokenization_mobilebert_fast.py,sha256=yiwXgwQG-_7KtuvZlWmXSo8M2Aa1HG47WiCpBPQJiaY,8377
transformers/models/mobilenet_v1/__init__.py,sha256=rbZvH8u5nov7gMxVexJZTVa8yJSIwI4ZHilp8sTEw64,2735
transformers/models/mobilenet_v1/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mobilenet_v1/__pycache__/configuration_mobilenet_v1.cpython-38.pyc,,
transformers/models/mobilenet_v1/__pycache__/convert_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/mobilenet_v1/__pycache__/feature_extraction_mobilenet_v1.cpython-38.pyc,,
transformers/models/mobilenet_v1/__pycache__/image_processing_mobilenet_v1.cpython-38.pyc,,
transformers/models/mobilenet_v1/__pycache__/modeling_mobilenet_v1.cpython-38.pyc,,
transformers/models/mobilenet_v1/configuration_mobilenet_v1.py,sha256=IPuXqJ8roy1OU7IplKRR_yCvFbjnixzTNrnfxDUcxg0,5237
transformers/models/mobilenet_v1/convert_original_tf_checkpoint_to_pytorch.py,sha256=XjGgfnPQBWp-0pNakJ1CNU1YnoYfeXCZ9WSIrTf02n8,4932
transformers/models/mobilenet_v1/feature_extraction_mobilenet_v1.py,sha256=goR0AC-IhWMrQlvzSK_0Zej42JYN-oswSGNQWnIOENU,1222
transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py,sha256=OVeO9FDNGK5-P4pteQ4muxyVxXORVHw0FWuLEKTj-WI,16159
transformers/models/mobilenet_v1/modeling_mobilenet_v1.py,sha256=Ze_zq7rncOY95Nfss9i1s5j-1GLwtQJ-iL0nZAP3GeQ,18777
transformers/models/mobilenet_v2/__init__.py,sha256=p4OHu9O6JD4N2TcjOgLu7S2u151xEvGwvdHizbzevc0,2830
transformers/models/mobilenet_v2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mobilenet_v2/__pycache__/configuration_mobilenet_v2.cpython-38.pyc,,
transformers/models/mobilenet_v2/__pycache__/convert_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/mobilenet_v2/__pycache__/feature_extraction_mobilenet_v2.cpython-38.pyc,,
transformers/models/mobilenet_v2/__pycache__/image_processing_mobilenet_v2.cpython-38.pyc,,
transformers/models/mobilenet_v2/__pycache__/modeling_mobilenet_v2.cpython-38.pyc,,
transformers/models/mobilenet_v2/configuration_mobilenet_v2.py,sha256=hciXGpHbYLMrAzSacTl4MVWLioyg_t_b8glxH5n6hvc,7361
transformers/models/mobilenet_v2/convert_original_tf_checkpoint_to_pytorch.py,sha256=acsdT3rMMqCPV9whw2xyiVK1UOs8tr8ySvYRFNRmVWM,6402
transformers/models/mobilenet_v2/feature_extraction_mobilenet_v2.py,sha256=_IUVvyoMBsqymCoh-CVmoswZ4nOBpqFJlaoUfD8WQ3E,1222
transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py,sha256=53RghrmKSQXmEZJ8MhBc5GDefQ5RnV4BqR2-f-eB6gU,18576
transformers/models/mobilenet_v2/modeling_mobilenet_v2.py,sha256=FMRJ4P9qiepWWECM5hlTMYdlbIlfm6bA0rZ6gSCCRrQ,34752
transformers/models/mobilevit/__init__.py,sha256=AN8UeJz0pDko_ezgS5J4cYAZT3P6Hv2EZKlqZGnkgSI,3492
transformers/models/mobilevit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mobilevit/__pycache__/configuration_mobilevit.cpython-38.pyc,,
transformers/models/mobilevit/__pycache__/convert_mlcvnets_to_pytorch.cpython-38.pyc,,
transformers/models/mobilevit/__pycache__/feature_extraction_mobilevit.cpython-38.pyc,,
transformers/models/mobilevit/__pycache__/image_processing_mobilevit.cpython-38.pyc,,
transformers/models/mobilevit/__pycache__/modeling_mobilevit.cpython-38.pyc,,
transformers/models/mobilevit/__pycache__/modeling_tf_mobilevit.cpython-38.pyc,,
transformers/models/mobilevit/configuration_mobilevit.py,sha256=cgFPApkZzSD1bfT4YGzyyH1WuS6iFqeWwPu_8CFtI2E,8400
transformers/models/mobilevit/convert_mlcvnets_to_pytorch.py,sha256=Ng8zzr_CxIO9IFcf0ijXqR_EWJeAhhQ3HAkethSpCn4,12402
transformers/models/mobilevit/feature_extraction_mobilevit.py,sha256=na2H01bKIhQsyCHayPaVase5HRGRmmO7zVDDuY76Uj0,1207
transformers/models/mobilevit/image_processing_mobilevit.py,sha256=H9A1eOptIf9QWlc7faPTH-6VzqOUa4rV5qp5v2zxxCY,15713
transformers/models/mobilevit/modeling_mobilevit.py,sha256=02i6kdsWB4RDdvRyTZMpDXJGyT4Ueoc7hkGPUifZhFo,40528
transformers/models/mobilevit/modeling_tf_mobilevit.py,sha256=LYCEiYqoYw0dCfKN_QFuwBNoke0i2AlsGt1gGPrbbyE,44632
transformers/models/mobilevitv2/__init__.py,sha256=kSj85QHMKZk8_MdSUYKIsFL6V8SCAJWQlzo1hlvlYw8,2111
transformers/models/mobilevitv2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mobilevitv2/__pycache__/configuration_mobilevitv2.cpython-38.pyc,,
transformers/models/mobilevitv2/__pycache__/convert_mlcvnets_to_pytorch.cpython-38.pyc,,
transformers/models/mobilevitv2/__pycache__/modeling_mobilevitv2.cpython-38.pyc,,
transformers/models/mobilevitv2/configuration_mobilevitv2.py,sha256=pl_YOZ7IWWoa6my4utXg9IAliBdaaKLMGYzKItx8TL8,7237
transformers/models/mobilevitv2/convert_mlcvnets_to_pytorch.py,sha256=ZzEtog7BRgGK8W0zwC_peXQOOaBkuduPO3Tbq9_xtjo,12557
transformers/models/mobilevitv2/modeling_mobilevitv2.py,sha256=0G7vh3nYkXZnA4KtVmZ21GD3yo2wDWMmtY6hF96BHNk,38738
transformers/models/mpnet/__init__.py,sha256=hyB4jNWDdoHWggavnqLZEF85f9a11vXSTKaLWTdPh-k,3875
transformers/models/mpnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mpnet/__pycache__/configuration_mpnet.cpython-38.pyc,,
transformers/models/mpnet/__pycache__/modeling_mpnet.cpython-38.pyc,,
transformers/models/mpnet/__pycache__/modeling_tf_mpnet.cpython-38.pyc,,
transformers/models/mpnet/__pycache__/tokenization_mpnet.cpython-38.pyc,,
transformers/models/mpnet/__pycache__/tokenization_mpnet_fast.cpython-38.pyc,,
transformers/models/mpnet/configuration_mpnet.py,sha256=RsoZ_jMBrEFZWtWWPbkte5f1uNyylf_0Muw6kfY2yLg,5442
transformers/models/mpnet/modeling_mpnet.py,sha256=FiIm2F2vaS9-bSfdO3jLDpbJBOI7Bvesho8TEqFsRXQ,42548
transformers/models/mpnet/modeling_tf_mpnet.py,sha256=DDSpWHLgfxggqghYcQyF51e2TBC70BMbulfCelmL4OE,48395
transformers/models/mpnet/tokenization_mpnet.py,sha256=UOM-hEPp8JVdbEYbmY1DJnarQPHsQjWjXZlO3xJbkEI,22583
transformers/models/mpnet/tokenization_mpnet_fast.py,sha256=5WDENCAuHJtPCa9csuoiFG4vO2iup6BsalXgh1Nq6Ow,8930
transformers/models/mra/__init__.py,sha256=CotdFTXkFtz90MDv55my886vc-0VBxs8h3mnGs-z7WQ,2254
transformers/models/mra/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mra/__pycache__/configuration_mra.cpython-38.pyc,,
transformers/models/mra/__pycache__/convert_mra_pytorch_to_pytorch.cpython-38.pyc,,
transformers/models/mra/__pycache__/modeling_mra.cpython-38.pyc,,
transformers/models/mra/configuration_mra.py,sha256=ID46OfXKPU6QGzu5UQnSv5pdtUDd4xT5gaqKP1mRMD8,6662
transformers/models/mra/convert_mra_pytorch_to_pytorch.py,sha256=LhaVlQ4q88gtewg-geRYZ748xQ3brLLhyDIo-OGWSdI,4247
transformers/models/mra/modeling_mra.py,sha256=QoEqvu0-Se2i3jyDJTxsUbOZ4OyEJ09wYqAcgOtFeTI,62339
transformers/models/mt5/__init__.py,sha256=FrTUvann3wcEIfET1Alw4njy9WlLLazOrcPMYELCm0U,3439
transformers/models/mt5/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mt5/__pycache__/configuration_mt5.cpython-38.pyc,,
transformers/models/mt5/__pycache__/modeling_flax_mt5.cpython-38.pyc,,
transformers/models/mt5/__pycache__/modeling_mt5.cpython-38.pyc,,
transformers/models/mt5/__pycache__/modeling_tf_mt5.cpython-38.pyc,,
transformers/models/mt5/configuration_mt5.py,sha256=SA84fX6a6Ov6wurSQ8FZRJu9RAwuNaegNcc-BSjIA4g,7588
transformers/models/mt5/modeling_flax_mt5.py,sha256=-S9hizR6fT12c-GgkHO4WEtiDEPXEyacpClO0EhqYtk,4239
transformers/models/mt5/modeling_mt5.py,sha256=nKEAq2Rxcmma-rfSD0ayA73ZjnEWLTOjXmF5PuCBxlA,102044
transformers/models/mt5/modeling_tf_mt5.py,sha256=LDjX_Usy6BMaiTgNuok-x-NCdWlwSvTd3Wi4q_Qu7Xw,3325
transformers/models/musicgen/__init__.py,sha256=EY9dwTvFbwcUcdSclI-kp8xvRO24giI4UJMAmiOWIr0,2099
transformers/models/musicgen/__pycache__/__init__.cpython-38.pyc,,
transformers/models/musicgen/__pycache__/configuration_musicgen.cpython-38.pyc,,
transformers/models/musicgen/__pycache__/convert_musicgen_transformers.cpython-38.pyc,,
transformers/models/musicgen/__pycache__/modeling_musicgen.cpython-38.pyc,,
transformers/models/musicgen/__pycache__/processing_musicgen.cpython-38.pyc,,
transformers/models/musicgen/configuration_musicgen.py,sha256=p_urKAfXt43njU52srTVeUAnVgfBEa9rKfc0BUPhX34,10772
transformers/models/musicgen/convert_musicgen_transformers.py,sha256=vFPeEY2Ti3l57a5OXleYbB-syBnJunQsCrxHP8rWAHA,8128
transformers/models/musicgen/modeling_musicgen.py,sha256=qgncL6GfsK8yBPRzBfG6XnglsA5zUBKcDFLX8e-gp3s,123160
transformers/models/musicgen/processing_musicgen.py,sha256=9XtRIcC9QQJ6vsvxAI8-fVOjxz4qJVLZLQCOFjPBJsM,5665
transformers/models/mvp/__init__.py,sha256=w3eswhHeLn9gayC1Cl8kfkkMGtD036aJeZF2541NmqM,2536
transformers/models/mvp/__pycache__/__init__.cpython-38.pyc,,
transformers/models/mvp/__pycache__/configuration_mvp.cpython-38.pyc,,
transformers/models/mvp/__pycache__/modeling_mvp.cpython-38.pyc,,
transformers/models/mvp/__pycache__/tokenization_mvp.cpython-38.pyc,,
transformers/models/mvp/__pycache__/tokenization_mvp_fast.cpython-38.pyc,,
transformers/models/mvp/configuration_mvp.py,sha256=FgwiW5FlyERic_eauB0KjaVTOLaORTdHE4yXn_R1ZQ4,8533
transformers/models/mvp/modeling_mvp.py,sha256=whEOfYa0ZS4aIydideDbiOqUk6B64GxntIXc01QDjMM,95123
transformers/models/mvp/tokenization_mvp.py,sha256=t0YeMWV-ucgHMduSD5375fqb2HwfI1TR8pMQEKFSfzI,16823
transformers/models/mvp/tokenization_mvp_fast.py,sha256=CutHWPHXW79q3-lSeXR3ymUay7MxRSCgGkvEUbWrDHA,12088
transformers/models/nat/__init__.py,sha256=YY8yjsIBbTC1eZRAnR4_p_gHQ3n4JyywB2G1JQuM4AQ,1776
transformers/models/nat/__pycache__/__init__.cpython-38.pyc,,
transformers/models/nat/__pycache__/configuration_nat.cpython-38.pyc,,
transformers/models/nat/__pycache__/modeling_nat.cpython-38.pyc,,
transformers/models/nat/configuration_nat.py,sha256=1Kg4vhcnqN3nPy8EgxkFoQQlw0hROOtI5Ck4CMdj8BU,7033
transformers/models/nat/modeling_nat.py,sha256=IpUneCpKGBfsTW5PXdxMs-f1hD9c0BfoPnnfeWZRdhU,40045
transformers/models/nezha/__init__.py,sha256=ae3hJzlO_gAa20enOImKo15phpgIXk2_Zt8tVLAY3MU,2233
transformers/models/nezha/__pycache__/__init__.cpython-38.pyc,,
transformers/models/nezha/__pycache__/configuration_nezha.cpython-38.pyc,,
transformers/models/nezha/__pycache__/modeling_nezha.cpython-38.pyc,,
transformers/models/nezha/configuration_nezha.py,sha256=cx8Z_17C7vLxee2X0CRNpR1mz7FFud7R-Aso0UT7IUo,5033
transformers/models/nezha/modeling_nezha.py,sha256=nu3UxD51gfdnusnuwsnutk9ETQsQrXSsgxvVq-optYQ,75081
transformers/models/nllb/__init__.py,sha256=tM7_FdmE7zOQm68GoRQiRt1jbYfPea9kC24QJSSMgIE,1868
transformers/models/nllb/__pycache__/__init__.cpython-38.pyc,,
transformers/models/nllb/__pycache__/tokenization_nllb.cpython-38.pyc,,
transformers/models/nllb/__pycache__/tokenization_nllb_fast.cpython-38.pyc,,
transformers/models/nllb/tokenization_nllb.py,sha256=ZTKguhTxlzjr5410gTDN9gzEWK1QZ_d9Cp-komBhTkU,19976
transformers/models/nllb/tokenization_nllb_fast.py,sha256=WjyuhENn6AfgW4WlnL8JPsw6A5aBOcaGN0wAdXaGo9A,16966
transformers/models/nllb_moe/__init__.py,sha256=ULdz8wrqlqfamWMIQpjmmkPJPPznr34f2JxkYkqquCQ,1978
transformers/models/nllb_moe/__pycache__/__init__.cpython-38.pyc,,
transformers/models/nllb_moe/__pycache__/configuration_nllb_moe.cpython-38.pyc,,
transformers/models/nllb_moe/__pycache__/convert_nllb_moe_sharded_original_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/nllb_moe/__pycache__/modeling_nllb_moe.cpython-38.pyc,,
transformers/models/nllb_moe/configuration_nllb_moe.py,sha256=RwAWqqU2T4_9SlpCgNdUGZwyBfd2O1x5rmd0Tiq3O6o,11315
transformers/models/nllb_moe/convert_nllb_moe_sharded_original_checkpoint_to_pytorch.py,sha256=c9Zab9qVzNESk0U2exJNaoDwUQo_Q7ZpcZHViZjqTQQ,6477
transformers/models/nllb_moe/modeling_nllb_moe.py,sha256=WgBKIn0fNZQRuAn1u7qRsMcYguOox1T1aUS-20U-ht0,86841
transformers/models/nystromformer/__init__.py,sha256=80Fr1KQ5iZtS-bmWIrqfo26_Yp43SbHRv_YSloD2J4I,2337
transformers/models/nystromformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/nystromformer/__pycache__/configuration_nystromformer.cpython-38.pyc,,
transformers/models/nystromformer/__pycache__/convert_nystromformer_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/nystromformer/__pycache__/modeling_nystromformer.cpython-38.pyc,,
transformers/models/nystromformer/configuration_nystromformer.py,sha256=eVuyj0dOkx5gSwJ1jSZi6H0gznReAjL5wuGVqFCahwA,6623
transformers/models/nystromformer/convert_nystromformer_original_pytorch_checkpoint_to_pytorch.py,sha256=8K5IGFosME-LAljFLuTc09oce1IwxZDcxw1KPHsamqc,4197
transformers/models/nystromformer/modeling_nystromformer.py,sha256=S6ie2_rnSRhy7P-IyKrarryb3rRv4Zhl6xNqc_ZXuZk,49086
transformers/models/oneformer/__init__.py,sha256=mhWiuUMUOFF1ba9KLNdNJYPYScCLxlZ61WiyO995jjo,2402
transformers/models/oneformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/oneformer/__pycache__/configuration_oneformer.cpython-38.pyc,,
transformers/models/oneformer/__pycache__/convert_to_hf_oneformer.cpython-38.pyc,,
transformers/models/oneformer/__pycache__/image_processing_oneformer.cpython-38.pyc,,
transformers/models/oneformer/__pycache__/modeling_oneformer.cpython-38.pyc,,
transformers/models/oneformer/__pycache__/processing_oneformer.cpython-38.pyc,,
transformers/models/oneformer/configuration_oneformer.py,sha256=MqZa0IdIAEePGVRo3Cd5SX6l8jIVal7duUKTIA0iOVY,12423
transformers/models/oneformer/convert_to_hf_oneformer.py,sha256=P_SNcr5Cr93oUrpnPP-xSNpD2FshqluoCVyfqvbtXt4,50690
transformers/models/oneformer/image_processing_oneformer.py,sha256=C-cWiRtm9HpWx6owE78bsw2vO64h6II6UA_44bMJyGk,55915
transformers/models/oneformer/modeling_oneformer.py,sha256=taIcJwicZmzWOfPJbM9Y9LLZUd_WHol8eIofPTLQu9Q,143392
transformers/models/oneformer/processing_oneformer.py,sha256=tstw0lFd9Ld8XKlwCsxn-A_kdMkXTryZfm9b58O8fYE,9482
transformers/models/open_llama/__init__.py,sha256=eeqlE-iZwnVwyxlk-dPSXrVKi1xsCYI0_Nbn4LTxs2E,2787
transformers/models/open_llama/__pycache__/__init__.cpython-38.pyc,,
transformers/models/open_llama/__pycache__/configuration_open_llama.cpython-38.pyc,,
transformers/models/open_llama/__pycache__/modeling_open_llama.cpython-38.pyc,,
transformers/models/open_llama/configuration_open_llama.py,sha256=VNTjSX2J_5ieIoiC--qy83SCYGnwFIYWM70Hs3UKMts,7858
transformers/models/open_llama/modeling_open_llama.py,sha256=mOe4UsNoPy_hFTna-hngl8z6uh02Nzn6O0YARCNQkbE,44959
transformers/models/openai/__init__.py,sha256=5Y0BYw7AWmCFdxKdBMd4-wTi9wj6-8lX7Ii1WvFlfA8,3658
transformers/models/openai/__pycache__/__init__.cpython-38.pyc,,
transformers/models/openai/__pycache__/configuration_openai.cpython-38.pyc,,
transformers/models/openai/__pycache__/convert_openai_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/openai/__pycache__/modeling_openai.cpython-38.pyc,,
transformers/models/openai/__pycache__/modeling_tf_openai.cpython-38.pyc,,
transformers/models/openai/__pycache__/tokenization_openai.cpython-38.pyc,,
transformers/models/openai/__pycache__/tokenization_openai_fast.cpython-38.pyc,,
transformers/models/openai/configuration_openai.py,sha256=y2nK0C4sll7txvx8tmzV8lZ13EeUHzkWhguunX-BAQg,7332
transformers/models/openai/convert_openai_original_tf_checkpoint_to_pytorch.py,sha256=nAomaHvwIi5gFuedK1WtT61GCu5tBxLE5zj6bY-fjGo,2666
transformers/models/openai/modeling_openai.py,sha256=LPD4R-A_trmuV-8XUEXD4UdsM7bzogvUSZ6C455PuPw,38004
transformers/models/openai/modeling_tf_openai.py,sha256=tTvRKhBSd5_yvJWaNh1LC9s7jUn4S8X3_bPPg-6HLEo,37783
transformers/models/openai/tokenization_openai.py,sha256=JGanEvKVfVf61f4s8R4kSOXxZ7fEej1H0Wv-GBWaYrM,15582
transformers/models/openai/tokenization_openai_fast.py,sha256=5Y7x0FEFOh7TwjNmGWKNq5WheUfTTSDJDH7C-QFVxJk,3046
transformers/models/opt/__init__.py,sha256=MQ8MhQamtoySbkT8WbqZ48mMUxp5Ae_UGX2Sl3HKPEc,2977
transformers/models/opt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/opt/__pycache__/configuration_opt.cpython-38.pyc,,
transformers/models/opt/__pycache__/convert_opt_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/opt/__pycache__/modeling_flax_opt.cpython-38.pyc,,
transformers/models/opt/__pycache__/modeling_opt.cpython-38.pyc,,
transformers/models/opt/__pycache__/modeling_tf_opt.cpython-38.pyc,,
transformers/models/opt/configuration_opt.py,sha256=zs60B2V-y0gWirgjxITijs4h-_wrmwO_Dhs1bagoykQ,7244
transformers/models/opt/convert_opt_original_pytorch_checkpoint_to_pytorch.py,sha256=7dHR6Tk9BBuFMEmHOxbu0jDf-gOnYFPsPLLH6SsA1gI,3858
transformers/models/opt/modeling_flax_opt.py,sha256=C_MPxnLCXYz1uqv6K1D9ZUzEQFEJ1YMYmVbt7XEMKZI,31547
transformers/models/opt/modeling_opt.py,sha256=72gd3bwb3lxJyMOCVvz7kkEomYA7iocGBdgehKOgQ3s,57855
transformers/models/opt/modeling_tf_opt.py,sha256=nE_ZoDdncamCTSmiOR8ayFUvZXWGyZqY7rJEP0KUfYI,45560
transformers/models/owlvit/__init__.py,sha256=zBsZnxDQ28eWv3rpN77KfHfIQPv4sIurjn-kNoykQyo,2915
transformers/models/owlvit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/owlvit/__pycache__/configuration_owlvit.cpython-38.pyc,,
transformers/models/owlvit/__pycache__/convert_owlvit_original_flax_to_hf.cpython-38.pyc,,
transformers/models/owlvit/__pycache__/feature_extraction_owlvit.cpython-38.pyc,,
transformers/models/owlvit/__pycache__/image_processing_owlvit.cpython-38.pyc,,
transformers/models/owlvit/__pycache__/modeling_owlvit.cpython-38.pyc,,
transformers/models/owlvit/__pycache__/processing_owlvit.cpython-38.pyc,,
transformers/models/owlvit/configuration_owlvit.py,sha256=fWHx4Fx-6BQ9HJp7ca18zjUNnDNLJ9DbBvUiuJGV4UE,17054
transformers/models/owlvit/convert_owlvit_original_flax_to_hf.py,sha256=tofzNZcVROwfYoV7pV6u50Am3TFm-XmuJEAGwNvRT9o,13988
transformers/models/owlvit/feature_extraction_owlvit.py,sha256=yPO8FbUw3YabKbsV_ozKpIr6JixO9knVw1eMIHeiCtY,1186
transformers/models/owlvit/image_processing_owlvit.py,sha256=uUUAVFoR8H7pIvl1SzvfZV0w3DIZB69bdI6bTXQsJ_w,23870
transformers/models/owlvit/modeling_owlvit.py,sha256=V7VIPo2z8VIb4dOkmrh9To7mhJQHSvyEE26RDXZmbBs,77705
transformers/models/owlvit/processing_owlvit.py,sha256=NF7Z_VMA5JP8s6m0TFPN_MLqFNH3-AbyyfYWV7MFhgM,11123
transformers/models/pegasus/__init__.py,sha256=SXHYeNzkJrHfERo9lhqyvu3S75BYDmqceiFfim50Y_g,4111
transformers/models/pegasus/__pycache__/__init__.cpython-38.pyc,,
transformers/models/pegasus/__pycache__/configuration_pegasus.cpython-38.pyc,,
transformers/models/pegasus/__pycache__/convert_pegasus_tf_to_pytorch.cpython-38.pyc,,
transformers/models/pegasus/__pycache__/modeling_flax_pegasus.cpython-38.pyc,,
transformers/models/pegasus/__pycache__/modeling_pegasus.cpython-38.pyc,,
transformers/models/pegasus/__pycache__/modeling_tf_pegasus.cpython-38.pyc,,
transformers/models/pegasus/__pycache__/tokenization_pegasus.cpython-38.pyc,,
transformers/models/pegasus/__pycache__/tokenization_pegasus_fast.cpython-38.pyc,,
transformers/models/pegasus/configuration_pegasus.py,sha256=FqTLK5PKUhK92q6f4BlKNtUixEneDgMDe7xQdp9JrwE,7693
transformers/models/pegasus/convert_pegasus_tf_to_pytorch.py,sha256=9geJowNAukZc9FE2OEq0pXQi6ynw9k-2NFtlmISxpUg,5359
transformers/models/pegasus/modeling_flax_pegasus.py,sha256=5tzvHpiLSTgtqkqgcyYi0OkKmU-fIWUP3LIgR8oTLSI,66067
transformers/models/pegasus/modeling_pegasus.py,sha256=obovdj48r-rhot9Z4u07ozXHKEs9ZruOuI97R6s4c1s,82118
transformers/models/pegasus/modeling_tf_pegasus.py,sha256=LDR3hvhl2tcmrUS251YrEGmGQYVH0YeEDys0NEr5gN0,69379
transformers/models/pegasus/tokenization_pegasus.py,sha256=FdI5K5_jKM8aCWuq1WZY8ZCUjS5-2TYTwrrts4quxSk,13709
transformers/models/pegasus/tokenization_pegasus_fast.py,sha256=m-dCtO70bl9RjQO4KsyhF3MvZUFoNwyVrA3aO58YPo8,9937
transformers/models/pegasus_x/__init__.py,sha256=M7Ef6UH-lQ53z-17c-XQi5nmmi-uVz8UKFHQe71LDVU,1828
transformers/models/pegasus_x/__pycache__/__init__.cpython-38.pyc,,
transformers/models/pegasus_x/__pycache__/configuration_pegasus_x.cpython-38.pyc,,
transformers/models/pegasus_x/__pycache__/modeling_pegasus_x.cpython-38.pyc,,
transformers/models/pegasus_x/configuration_pegasus_x.py,sha256=2BVpaXLhq90J2uE-TCxwZYTlaKm1ezl8miGn9V64iHA,8419
transformers/models/pegasus_x/modeling_pegasus_x.py,sha256=7uB0Pp3Ssf9vuDYA0wL_aGH0rUNcNJSOimjGt-gbqKA,79396
transformers/models/perceiver/__init__.py,sha256=y-6ZMYh3FfGpj9A1gZafPXrfGKJoGKEenKlJT9ZZEw8,3293
transformers/models/perceiver/__pycache__/__init__.cpython-38.pyc,,
transformers/models/perceiver/__pycache__/configuration_perceiver.cpython-38.pyc,,
transformers/models/perceiver/__pycache__/convert_perceiver_haiku_to_pytorch.cpython-38.pyc,,
transformers/models/perceiver/__pycache__/feature_extraction_perceiver.cpython-38.pyc,,
transformers/models/perceiver/__pycache__/image_processing_perceiver.cpython-38.pyc,,
transformers/models/perceiver/__pycache__/modeling_perceiver.cpython-38.pyc,,
transformers/models/perceiver/__pycache__/tokenization_perceiver.cpython-38.pyc,,
transformers/models/perceiver/configuration_perceiver.py,sha256=zj0mtV1v_mrzNdy4qV96vVNAFbO13plSG0lHm9ioQNg,12055
transformers/models/perceiver/convert_perceiver_haiku_to_pytorch.py,sha256=f8p0sPVQv19tMDKkIM8IfTg60-SYX9MMABAzstxFt7k,21286
transformers/models/perceiver/feature_extraction_perceiver.py,sha256=0lW_qh5ONtUwr0ARM9RB9hizA76wL6fmeofDrhbIsXI,1207
transformers/models/perceiver/image_processing_perceiver.py,sha256=1QhhkqcQpAMiB8qu1rCav_TW6m2cG-Qip0M8D9Gj7zs,15537
transformers/models/perceiver/modeling_perceiver.py,sha256=M9Sk7XN8aMAe8zSuTYGH8os0CMzw2I6o_zrvir4XfFw,146469
transformers/models/perceiver/tokenization_perceiver.py,sha256=wcfQo5T0yeS_xO1rr8sc7uB_CFbUye7oAA6BwgJuZXQ,8945
transformers/models/phobert/__init__.py,sha256=JDAAoG6FOpN1o5kgFBbHkoko9NsiioFi-ZAeAgR79nY,955
transformers/models/phobert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/phobert/__pycache__/tokenization_phobert.cpython-38.pyc,,
transformers/models/phobert/tokenization_phobert.py,sha256=8vwREw36J-sWhwrWYPOzLHocqa2TzZrvwgFiLi53MYQ,13551
transformers/models/pix2struct/__init__.py,sha256=VSpzQStsFkcbIF3aftcNle95WQ7-cZzuWwDhjgzK-IU,2701
transformers/models/pix2struct/__pycache__/__init__.cpython-38.pyc,,
transformers/models/pix2struct/__pycache__/configuration_pix2struct.cpython-38.pyc,,
transformers/models/pix2struct/__pycache__/convert_pix2struct_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/pix2struct/__pycache__/image_processing_pix2struct.cpython-38.pyc,,
transformers/models/pix2struct/__pycache__/modeling_pix2struct.cpython-38.pyc,,
transformers/models/pix2struct/__pycache__/processing_pix2struct.cpython-38.pyc,,
transformers/models/pix2struct/configuration_pix2struct.py,sha256=FsgjEXgbu06Vdf_9EpBhlQ1LwYLLvVgt-XincEySc-Q,18040
transformers/models/pix2struct/convert_pix2struct_original_pytorch_to_hf.py,sha256=m_S-9oxyN4PQafRbWQIP-G0NUDrTqxOmr8IwiHNCOuU,5886
transformers/models/pix2struct/image_processing_pix2struct.py,sha256=q4VDNA81s9VlAyH65oQdqg1zQuKsyD5uTHJVqgpXLSA,17854
transformers/models/pix2struct/modeling_pix2struct.py,sha256=wIHbkQGPgYuD-BIaO9uX6CP8kwhwDFDPNLICaMaTh0w,83362
transformers/models/pix2struct/processing_pix2struct.py,sha256=OPsFJcxgOkzOOBfTInyeVXYYbrjWLnMhJmnVrhMm0dc,6959
transformers/models/plbart/__init__.py,sha256=uNjyVJsOGh5eb2iNYSc7av9uNk-n3xB6rLv3BSRBKoY,2429
transformers/models/plbart/__pycache__/__init__.cpython-38.pyc,,
transformers/models/plbart/__pycache__/configuration_plbart.cpython-38.pyc,,
transformers/models/plbart/__pycache__/convert_plbart_original_checkpoint_to_torch.cpython-38.pyc,,
transformers/models/plbart/__pycache__/modeling_plbart.cpython-38.pyc,,
transformers/models/plbart/__pycache__/tokenization_plbart.cpython-38.pyc,,
transformers/models/plbart/configuration_plbart.py,sha256=AmqpZxsi1KRYvVzvJx35bTw--Qim8pTiad2o3pNZzDw,8719
transformers/models/plbart/convert_plbart_original_checkpoint_to_torch.py,sha256=BOXNudNSr1xevmHnvNpa_4ya3Q89m6J4lndQhCWSLB8,3553
transformers/models/plbart/modeling_plbart.py,sha256=CqqjqE_0JgGaeDorRPbj3C7HUhYetU1bGtW1WYnr63M,82983
transformers/models/plbart/tokenization_plbart.py,sha256=tfYE97_7ilhnJzWHaeYUmSshZXtAY_e26O0_iAJVCw8,21656
transformers/models/poolformer/__init__.py,sha256=fzMbnIpAxBApWl0QVCU965q9km5dySep9Hjhml26r68,2586
transformers/models/poolformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/poolformer/__pycache__/configuration_poolformer.cpython-38.pyc,,
transformers/models/poolformer/__pycache__/convert_poolformer_original_to_pytorch.cpython-38.pyc,,
transformers/models/poolformer/__pycache__/feature_extraction_poolformer.cpython-38.pyc,,
transformers/models/poolformer/__pycache__/image_processing_poolformer.cpython-38.pyc,,
transformers/models/poolformer/__pycache__/modeling_poolformer.cpython-38.pyc,,
transformers/models/poolformer/configuration_poolformer.py,sha256=SaQL_fl8b-S--GhBJeejPC2Yhhqsj9A2Xqa03pvM-G0,5802
transformers/models/poolformer/convert_poolformer_original_to_pytorch.py,sha256=Vvlp7ju7kr2sg1NdXKma6vYGABjs4sVhPKhgFKPJRpk,7947
transformers/models/poolformer/feature_extraction_poolformer.py,sha256=KDL4tg7hxwzQKYmGc6jMZfzeD9UCTb00oNfbejIjzmk,1214
transformers/models/poolformer/image_processing_poolformer.py,sha256=t-v3gZWpWJFYjxUuILbo6aqp7KmqK8YJRveI1JoOh-Q,18310
transformers/models/poolformer/modeling_poolformer.py,sha256=fp-_C9u33gA1tq3SBVfp1ZBKqo8x5PcCKISITKpmg50,18074
transformers/models/prophetnet/__init__.py,sha256=1w4cY9QLl0elN9_oFDScwrb0F12-54b5ylPrxCiqpFw,2157
transformers/models/prophetnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/prophetnet/__pycache__/configuration_prophetnet.cpython-38.pyc,,
transformers/models/prophetnet/__pycache__/convert_prophetnet_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/prophetnet/__pycache__/modeling_prophetnet.cpython-38.pyc,,
transformers/models/prophetnet/__pycache__/tokenization_prophetnet.cpython-38.pyc,,
transformers/models/prophetnet/configuration_prophetnet.py,sha256=8DPxR_SqH3wkfV6YzsIuAygtCwU-9Y14xCXk1GJ2OfY,9062
transformers/models/prophetnet/convert_prophetnet_original_pytorch_checkpoint_to_pytorch.py,sha256=EzgNdUzWNQowTUpyfXO-_RBZEw0sa5sVA1b7jbqFUxU,7055
transformers/models/prophetnet/modeling_prophetnet.py,sha256=bWrVoDzEI8QeLL5e7TLUnFQ8sHrAh1ZWFlfGkb3iQUg,114949
transformers/models/prophetnet/tokenization_prophetnet.py,sha256=6A4hIajr8CSSMmyoalJTg7Q2QxiK5rwWvhZwQwlD4o8,21847
transformers/models/qdqbert/__init__.py,sha256=x3xI7kd5kpsjAvYJT8SrR5_uCeInhVA8repNZFRtXhU,2402
transformers/models/qdqbert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/qdqbert/__pycache__/configuration_qdqbert.cpython-38.pyc,,
transformers/models/qdqbert/__pycache__/modeling_qdqbert.cpython-38.pyc,,
transformers/models/qdqbert/configuration_qdqbert.py,sha256=8JYf_1TfARevJY2zRGWtCUU9zBVPfha3l2u4A-tSkpo,5895
transformers/models/qdqbert/modeling_qdqbert.py,sha256=zqWvoDelfqCEgtKXscKidszdKtG3XEUA5Q7ydjQad7k,77045
transformers/models/rag/__init__.py,sha256=omMwtpcTWBHYKZvt8NIxbACHhICmYWfeTgiC7O4U88g,2426
transformers/models/rag/__pycache__/__init__.cpython-38.pyc,,
transformers/models/rag/__pycache__/configuration_rag.cpython-38.pyc,,
transformers/models/rag/__pycache__/modeling_rag.cpython-38.pyc,,
transformers/models/rag/__pycache__/modeling_tf_rag.cpython-38.pyc,,
transformers/models/rag/__pycache__/retrieval_rag.cpython-38.pyc,,
transformers/models/rag/__pycache__/tokenization_rag.cpython-38.pyc,,
transformers/models/rag/configuration_rag.py,sha256=lL4NOEK0AfXL3f0PO2E1CykqxsRUrQ_G-oTicEqRjqY,8800
transformers/models/rag/modeling_rag.py,sha256=YR758A9xM8RGDQh6SXXS0-L0r5lhuXY6nCnsWkWzQK4,86080
transformers/models/rag/modeling_tf_rag.py,sha256=32sBt6dzyxZSw5H0LrmCu6YkfRa3EwC1G-PqtID4QF4,87921
transformers/models/rag/retrieval_rag.py,sha256=rnxfmkVD4FxYyQDNC5ePaWBJPbTE-tmHBONf0XbCvT0,28510
transformers/models/rag/tokenization_rag.py,sha256=O5gPSIP0dOyYEe5k4VjcCttsbAoAAZ6338z0IsWF690,4576
transformers/models/realm/__init__.py,sha256=k3gccDAsk5YJYrjrd8hOZCc1q8KJR2EMoGhvEdF-OTU,2675
transformers/models/realm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/realm/__pycache__/configuration_realm.cpython-38.pyc,,
transformers/models/realm/__pycache__/modeling_realm.cpython-38.pyc,,
transformers/models/realm/__pycache__/retrieval_realm.cpython-38.pyc,,
transformers/models/realm/__pycache__/tokenization_realm.cpython-38.pyc,,
transformers/models/realm/__pycache__/tokenization_realm_fast.cpython-38.pyc,,
transformers/models/realm/configuration_realm.py,sha256=6TKGXCjU7DIhVgUej4c4wmyQN7cwldWsY6DywTjvR7Y,8743
transformers/models/realm/modeling_realm.py,sha256=k5BCDKSQERcKiY9EbUm019mQzYfHadElR4QiFahJHaM,84492
transformers/models/realm/retrieval_realm.py,sha256=86jQyu1U8QePlahXS8rGD_E6TlvEqQeqg21qSsAno-M,6370
transformers/models/realm/tokenization_realm.py,sha256=Q1Fr3jxk-KAE-FH3TkxO3KMaHFXaZNxXrz7Y3nEIO6o,25477
transformers/models/realm/tokenization_realm_fast.py,sha256=r9CvJW6Onxa3znhXcQMn8EKHPZGbcH3FJUtOcD44l0Y,14575
transformers/models/reformer/__init__.py,sha256=MKhG4aefK429UY32oYQbVTLm1T2L_SIYS_TNnrWnTwA,3139
transformers/models/reformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/reformer/__pycache__/configuration_reformer.cpython-38.pyc,,
transformers/models/reformer/__pycache__/convert_reformer_trax_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/reformer/__pycache__/modeling_reformer.cpython-38.pyc,,
transformers/models/reformer/__pycache__/tokenization_reformer.cpython-38.pyc,,
transformers/models/reformer/__pycache__/tokenization_reformer_fast.cpython-38.pyc,,
transformers/models/reformer/configuration_reformer.py,sha256=7h7_MioFDLvCp6jVw7BWGJNJHN1Ss8OtiV5bKotPi3g,13463
transformers/models/reformer/convert_reformer_trax_checkpoint_to_pytorch.py,sha256=axn3FvdtVSdQT5V5u1-sfJ3sMV3YpEU6r5B10bTYZ8o,7818
transformers/models/reformer/modeling_reformer.py,sha256=rAHZMhVdJfhzKmeV1HJp14mwNN4TT8HAyjfpPobV8zs,115179
transformers/models/reformer/tokenization_reformer.py,sha256=O27fRiqko9laYEfI2G12unQFEKT7wvNgp-NnuhDxKYk,7315
transformers/models/reformer/tokenization_reformer_fast.py,sha256=VkIQS5wqvpJLisNT91EwdiB4thOjUhn0FyI0TXaWNKo,4825
transformers/models/regnet/__init__.py,sha256=KQR1LgyjMxE0d-7nACPCHiRXo0rSm93vfcy8puDXbuE,3168
transformers/models/regnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/regnet/__pycache__/configuration_regnet.cpython-38.pyc,,
transformers/models/regnet/__pycache__/convert_regnet_seer_10b_to_pytorch.cpython-38.pyc,,
transformers/models/regnet/__pycache__/convert_regnet_to_pytorch.cpython-38.pyc,,
transformers/models/regnet/__pycache__/modeling_flax_regnet.cpython-38.pyc,,
transformers/models/regnet/__pycache__/modeling_regnet.cpython-38.pyc,,
transformers/models/regnet/__pycache__/modeling_tf_regnet.cpython-38.pyc,,
transformers/models/regnet/configuration_regnet.py,sha256=WQoUimJyrUDb_wIxO2oCdPPIXL1oAyOgAcgTMSYQ0n0,4088
transformers/models/regnet/convert_regnet_seer_10b_to_pytorch.py,sha256=zDPbUZRiO0lJl7hdUztm9JnUAbOI1Wv5wyHZdCKQ-d0,11770
transformers/models/regnet/convert_regnet_to_pytorch.py,sha256=8ROD6KFq7jmx37Gp_EBrcc_SOndBDMh1iUyObMDB4Uo,18715
transformers/models/regnet/modeling_flax_regnet.py,sha256=CCWXqcI7nb_ISsTQbVJoTdjxtGmBm7SLWgDVqdvJN94,28403
transformers/models/regnet/modeling_regnet.py,sha256=MDG5IGYjSt67X1flvNbRjCQJlkyNgWDJ1vPK2Xw1bxE,17533
transformers/models/regnet/modeling_tf_regnet.py,sha256=jgMMuFmQF_DJX8KcdC8XhqVtKxE5QwLPv2WgDr6Af4U,19479
transformers/models/rembert/__init__.py,sha256=XC3xr6aUNReL6SzFXr6TyAWPg9EXiBFl4o225gmkNQQ,4514
transformers/models/rembert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/rembert/__pycache__/configuration_rembert.cpython-38.pyc,,
transformers/models/rembert/__pycache__/convert_rembert_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/rembert/__pycache__/modeling_rembert.cpython-38.pyc,,
transformers/models/rembert/__pycache__/modeling_tf_rembert.cpython-38.pyc,,
transformers/models/rembert/__pycache__/tokenization_rembert.cpython-38.pyc,,
transformers/models/rembert/__pycache__/tokenization_rembert_fast.cpython-38.pyc,,
transformers/models/rembert/configuration_rembert.py,sha256=36AIo8cmb4e-IzSZLxjoIOyKJVa4CgAUPcuBVhwdi10,7450
transformers/models/rembert/convert_rembert_tf_checkpoint_to_pytorch.py,sha256=C-TS1MrtQHTxK3j5HUKwlcrQItW24T7_iPvtt8KGbAU,2208
transformers/models/rembert/modeling_rembert.py,sha256=CWxjCy253Dym0_bM_TnJ--uNnIzbdsxsTATnvPG_I_s,68091
transformers/models/rembert/modeling_tf_rembert.py,sha256=eoad29TxIVHyfwhPAVCLOq0QHj31uvHoSFdBtsm5R70,69600
transformers/models/rembert/tokenization_rembert.py,sha256=k2YT384Ch4APtVLplyc6K9iw1sFaXWPwt0z72QoeQT4,10481
transformers/models/rembert/tokenization_rembert_fast.py,sha256=7u6f0-uHx2aZEQkP7b2qeh1UjrRQuOypr8b43yni5r8,10422
transformers/models/resnet/__init__.py,sha256=n63hjzrOOmaIXaDS0F9thB531jarpWDBkXmgFaMBRbo,3216
transformers/models/resnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/resnet/__pycache__/configuration_resnet.cpython-38.pyc,,
transformers/models/resnet/__pycache__/convert_resnet_to_pytorch.cpython-38.pyc,,
transformers/models/resnet/__pycache__/modeling_flax_resnet.cpython-38.pyc,,
transformers/models/resnet/__pycache__/modeling_resnet.cpython-38.pyc,,
transformers/models/resnet/__pycache__/modeling_tf_resnet.cpython-38.pyc,,
transformers/models/resnet/configuration_resnet.py,sha256=F-ieEjBuglaf6d8kTjcr-f4CmthGdr_vkVmIUMCbywg,5697
transformers/models/resnet/convert_resnet_to_pytorch.py,sha256=ShZl8Ob5ElrgRujQCoGXWdIY_99UICrWqiHdSzFdOHc,7287
transformers/models/resnet/modeling_flax_resnet.py,sha256=jbHuud-uJ9bHN00WBODbAkv2PGLFZ5j-WUVwhm1FADo,24640
transformers/models/resnet/modeling_resnet.py,sha256=CBNHgOJB5_AAejPBHPYb1OlmKuXFRaqRq9VDDHU_wac,19025
transformers/models/resnet/modeling_tf_resnet.py,sha256=NqqqxAyKh57TNCIDRIKyKKRn_bktYjMGwHCvP4r2qus,19121
transformers/models/roberta/__init__.py,sha256=GvGX0z6XPZtwkfCh4K2xagGOK0tlW0DT91QVQhTcA4o,5091
transformers/models/roberta/__pycache__/__init__.cpython-38.pyc,,
transformers/models/roberta/__pycache__/configuration_roberta.cpython-38.pyc,,
transformers/models/roberta/__pycache__/convert_roberta_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/roberta/__pycache__/modeling_flax_roberta.cpython-38.pyc,,
transformers/models/roberta/__pycache__/modeling_roberta.cpython-38.pyc,,
transformers/models/roberta/__pycache__/modeling_tf_roberta.cpython-38.pyc,,
transformers/models/roberta/__pycache__/tokenization_roberta.cpython-38.pyc,,
transformers/models/roberta/__pycache__/tokenization_roberta_fast.cpython-38.pyc,,
transformers/models/roberta/configuration_roberta.py,sha256=xsstGrTiejU4R8n1-FwH5UvwlY_br8SJD-lATYdV_Vs,7878
transformers/models/roberta/convert_roberta_original_pytorch_checkpoint_to_pytorch.py,sha256=MmHtq9AhcXXd-V8Fz0XWC8n-PL-S1MSdFhTCVM6Cksk,8002
transformers/models/roberta/modeling_flax_roberta.py,sha256=QVso_6goQjY4FuDO8YKTHteMUINE3RfqK5tiPCCG7Ls,56957
transformers/models/roberta/modeling_roberta.py,sha256=38dGO39yIi-03bWBZaktmwg7jm4Ck2uS-KQyNDuP5SE,71162
transformers/models/roberta/modeling_tf_roberta.py,sha256=_G62Wav4BDcHY4SVT9iQ3HKidlt_b1AQMlKXYRXMRgw,71893
transformers/models/roberta/tokenization_roberta.py,sha256=GTsFzPXrRyWz6tZRVULahZVbAOC2WIU1VLLDbVnOHzs,17960
transformers/models/roberta/tokenization_roberta_fast.py,sha256=Zg4Opu6LsIR9o1_wmozsOkh6fm2AkPWe8iq5g7A7uTo,13678
transformers/models/roberta_prelayernorm/__init__.py,sha256=C9bA_ah_10OCt_LUT1bsOJTUjSt6boV2frOKBtHCes4,5391
transformers/models/roberta_prelayernorm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/roberta_prelayernorm/__pycache__/configuration_roberta_prelayernorm.cpython-38.pyc,,
transformers/models/roberta_prelayernorm/__pycache__/convert_roberta_prelayernorm_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/roberta_prelayernorm/__pycache__/modeling_flax_roberta_prelayernorm.cpython-38.pyc,,
transformers/models/roberta_prelayernorm/__pycache__/modeling_roberta_prelayernorm.cpython-38.pyc,,
transformers/models/roberta_prelayernorm/__pycache__/modeling_tf_roberta_prelayernorm.cpython-38.pyc,,
transformers/models/roberta_prelayernorm/configuration_roberta_prelayernorm.py,sha256=P3uOV_TqpzKsBljkfgI5n584LKqGMo_7DmD0slH9H-o,8024
transformers/models/roberta_prelayernorm/convert_roberta_prelayernorm_original_pytorch_checkpoint_to_pytorch.py,sha256=ti9rttSVMs3SemlZrVQFkDKKHBubrk29d4lQkpkI3Ro,2975
transformers/models/roberta_prelayernorm/modeling_flax_roberta_prelayernorm.py,sha256=dUHLh_AyLDeY2JlbhrGabIhFL1EREAzapaunwTslXgQ,60529
transformers/models/roberta_prelayernorm/modeling_roberta_prelayernorm.py,sha256=Q5aYavrc50OPz1GTbOcp_qD4kA7zvwxd4uEG9xgdbv0,73898
transformers/models/roberta_prelayernorm/modeling_tf_roberta_prelayernorm.py,sha256=kJYM-NlKKtSWEB9aK22XHRRulZPo6JwDrdRRlgXLyWQ,74866
transformers/models/roc_bert/__init__.py,sha256=ItDlyJx76hWJLT_159wnQgdWC82bT-TG_FpFzjRqXaU,2875
transformers/models/roc_bert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/roc_bert/__pycache__/configuration_roc_bert.cpython-38.pyc,,
transformers/models/roc_bert/__pycache__/modeling_roc_bert.cpython-38.pyc,,
transformers/models/roc_bert/__pycache__/tokenization_roc_bert.cpython-38.pyc,,
transformers/models/roc_bert/configuration_roc_bert.py,sha256=TBklCPl65J6DYnKcfyO9Co42UcpSc6lmyxPWOq0BuPM,8657
transformers/models/roc_bert/modeling_roc_bert.py,sha256=s91hHuyFHAFbsI0z6H9APeuDvxlgr6OlecNTJW-5WhA,92854
transformers/models/roc_bert/tokenization_roc_bert.py,sha256=Q6QpeMlaPPDIT6XQFoJTumB4eYlEwTYPrVAGM0KkPKY,50992
transformers/models/roformer/__init__.py,sha256=1EFy2Zdn9AdraO-fmIpYg1q_HLYq-7rT5qDL_8Gurnc,5333
transformers/models/roformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/roformer/__pycache__/configuration_roformer.cpython-38.pyc,,
transformers/models/roformer/__pycache__/convert_roformer_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/roformer/__pycache__/modeling_flax_roformer.cpython-38.pyc,,
transformers/models/roformer/__pycache__/modeling_roformer.cpython-38.pyc,,
transformers/models/roformer/__pycache__/modeling_tf_roformer.cpython-38.pyc,,
transformers/models/roformer/__pycache__/tokenization_roformer.cpython-38.pyc,,
transformers/models/roformer/__pycache__/tokenization_roformer_fast.cpython-38.pyc,,
transformers/models/roformer/__pycache__/tokenization_utils.cpython-38.pyc,,
transformers/models/roformer/configuration_roformer.py,sha256=oFnHhFBJ9Qms1IvdzMGolTOkosnHNr2zMPEghm51G_w,7711
transformers/models/roformer/convert_roformer_original_tf_checkpoint_to_pytorch.py,sha256=G57qbbWpRH06sm041u6D3BdNE7mCPSDvlaNLOZjWdvY,2240
transformers/models/roformer/modeling_flax_roformer.py,sha256=wQVNfvcVLNcHTLulJgcGlIm84UKWQxCmVHMibPvXE5k,39460
transformers/models/roformer/modeling_roformer.py,sha256=ZGQsGSlTZ9E3oWV2uPjn-_IDrbkIvRRS1zxS3N2Afzc,69287
transformers/models/roformer/modeling_tf_roformer.py,sha256=Drawi9kHQPludMgUe5B1V64fdoVqQiTkqjazEBirLSU,57616
transformers/models/roformer/tokenization_roformer.py,sha256=zuHmrGJPaXb-tweHs7XE-U3p0s0vppKJ5xWBmqIdVbc,23835
transformers/models/roformer/tokenization_roformer_fast.py,sha256=gUCIaqKYKlY08gbo5XW_-vyXudRuH8Q6s_fVi4CQADw,8276
transformers/models/roformer/tokenization_utils.py,sha256=0ciH13qW2kCa5my1rPwfwAuSXX-jGzN0nzemvGvOBxw,2652
transformers/models/rwkv/__init__.py,sha256=2uUo3Zi2By-3QKG7YkrEqllvFG4_SqJZ-NeplOxHCD4,1780
transformers/models/rwkv/__pycache__/__init__.cpython-38.pyc,,
transformers/models/rwkv/__pycache__/configuration_rwkv.cpython-38.pyc,,
transformers/models/rwkv/__pycache__/convert_rwkv_checkpoint_to_hf.cpython-38.pyc,,
transformers/models/rwkv/__pycache__/modeling_rwkv.cpython-38.pyc,,
transformers/models/rwkv/configuration_rwkv.py,sha256=qQ8ZgEGo8XqRM9pYNcMZ9iBH9NeoudsssT8EbBvhTiI,6204
transformers/models/rwkv/convert_rwkv_checkpoint_to_hf.py,sha256=oXXZN2tt_yWCRAkqpE6-7kDPMy4PyKaYmpMZwsH-IUE,6994
transformers/models/rwkv/modeling_rwkv.py,sha256=85dGwCXKyXYwqleGzsSFQQ5ZFMUmd5TOk_FfqTFTsgw,35605
transformers/models/sam/__init__.py,sha256=1wiFtdU-_NON6yx4QfFBk4vrfwN4hHv7JEA3CSGq_wU,2980
transformers/models/sam/__pycache__/__init__.cpython-38.pyc,,
transformers/models/sam/__pycache__/configuration_sam.cpython-38.pyc,,
transformers/models/sam/__pycache__/convert_sam_original_to_hf_format.cpython-38.pyc,,
transformers/models/sam/__pycache__/image_processing_sam.cpython-38.pyc,,
transformers/models/sam/__pycache__/modeling_sam.cpython-38.pyc,,
transformers/models/sam/__pycache__/modeling_tf_sam.cpython-38.pyc,,
transformers/models/sam/__pycache__/processing_sam.cpython-38.pyc,,
transformers/models/sam/configuration_sam.py,sha256=txqd4kd4rkWykH017Uvb0DeYlOsg9ApwCW4VTg0uYXk,14784
transformers/models/sam/convert_sam_original_to_hf_format.py,sha256=EPsY1Ne6lziXTjV7kun80W10En23hs5PSC10hiR-dSA,6958
transformers/models/sam/image_processing_sam.py,sha256=UqV2NwrZ8WASbWOWrLG8JdE8cNBzPp7BA3qUJopIPWk,57242
transformers/models/sam/modeling_sam.py,sha256=xM8Z5z8vWoEDU0-Eu2kXqZaKREMXT3rl_0-a2cgyvIE,65035
transformers/models/sam/modeling_tf_sam.py,sha256=KAXcLBbF6Ln0Ws402aekUZ9xay4-9QEzKlsKpUIl01Q,66857
transformers/models/sam/processing_sam.py,sha256=d-M1Rj-0PSnof_X3mYp8f9yDi4WORsdbDocgl-Ml120,10848
transformers/models/segformer/__init__.py,sha256=T1k_hhB2iCL8zOY3rcG9erX0JbBS--OgU27-G0ZxR2o,3676
transformers/models/segformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/segformer/__pycache__/configuration_segformer.cpython-38.pyc,,
transformers/models/segformer/__pycache__/convert_segformer_original_to_pytorch.cpython-38.pyc,,
transformers/models/segformer/__pycache__/feature_extraction_segformer.cpython-38.pyc,,
transformers/models/segformer/__pycache__/image_processing_segformer.cpython-38.pyc,,
transformers/models/segformer/__pycache__/modeling_segformer.cpython-38.pyc,,
transformers/models/segformer/__pycache__/modeling_tf_segformer.cpython-38.pyc,,
transformers/models/segformer/configuration_segformer.py,sha256=9gTE3JP3RdYxevxSzxB3_cMFl7o4QTB4IOCn862SHa4,7636
transformers/models/segformer/convert_segformer_original_to_pytorch.py,sha256=UXWvoxIi_vor0L5yPuqD7wUuy-vzSNtypQcrpLkTZFc,17092
transformers/models/segformer/feature_extraction_segformer.py,sha256=yaRckmbmTyh1Oow3PnHLsjW4MURaWqddhTzG-PVcywk,1207
transformers/models/segformer/image_processing_segformer.py,sha256=Nue_4OcwAtS5El0p0N5pW1GmB7VDN30YjlbCN8n1zdY,21100
transformers/models/segformer/modeling_segformer.py,sha256=3lmy9vQceBQB-0SCg38b90o0vligQwRyALZql6H50jE,35488
transformers/models/segformer/modeling_tf_segformer.py,sha256=oGvHpfMOWcqYU3ZDNcQC8Tu82j-P03uHFJYBm8WoSPk,36138
transformers/models/sew/__init__.py,sha256=VG7sYJFBweKB5Cb9lzyRYdjeG0olDM7cIQIUy4XQR8M,1778
transformers/models/sew/__pycache__/__init__.cpython-38.pyc,,
transformers/models/sew/__pycache__/configuration_sew.cpython-38.pyc,,
transformers/models/sew/__pycache__/convert_sew_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/sew/__pycache__/modeling_sew.cpython-38.pyc,,
transformers/models/sew/configuration_sew.py,sha256=FsPhMK52d-aUI-yhVa5sAOsPFE2T43un86stUShOwTw,14239
transformers/models/sew/convert_sew_original_pytorch_checkpoint_to_pytorch.py,sha256=TzlAoTl1DQUm3bhNxDlpXoxe-u1ZcMMbhrQsefGbFog,12745
transformers/models/sew/modeling_sew.py,sha256=r_IzPtpcgFO4GbksvVDz-QZ9YbCASJ956h9p5Ad20bY,53927
transformers/models/sew_d/__init__.py,sha256=5d5VSrW-sTwr3H0e2js1KsRL7SM4GPiRPY9Hl_gVjWk,1804
transformers/models/sew_d/__pycache__/__init__.cpython-38.pyc,,
transformers/models/sew_d/__pycache__/configuration_sew_d.cpython-38.pyc,,
transformers/models/sew_d/__pycache__/convert_sew_d_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/sew_d/__pycache__/modeling_sew_d.cpython-38.pyc,,
transformers/models/sew_d/configuration_sew_d.py,sha256=FPtZXN0tFAuVfGPElQNlfyGtXiCXflaidBzeA_qwLoI,15981
transformers/models/sew_d/convert_sew_d_original_pytorch_checkpoint_to_pytorch.py,sha256=OeszH3N5vz1FbXoF-d-w6wDJ2A2MxvUMn9uDMpU7bro,13575
transformers/models/sew_d/modeling_sew_d.py,sha256=0yTYueQb63TWxo9hkqT4WTQHWnTRFeLr9DTXAtdAblw,74626
transformers/models/speech_encoder_decoder/__init__.py,sha256=987NzBteEbQy0IYY43B_JKolw2BbyX6Ox9s__xH0daQ,2037
transformers/models/speech_encoder_decoder/__pycache__/__init__.cpython-38.pyc,,
transformers/models/speech_encoder_decoder/__pycache__/configuration_speech_encoder_decoder.cpython-38.pyc,,
transformers/models/speech_encoder_decoder/__pycache__/convert_mbart_wav2vec2_seq2seq_original_to_pytorch.cpython-38.pyc,,
transformers/models/speech_encoder_decoder/__pycache__/convert_speech_to_text_wav2vec2_seq2seq_original_to_pytorch.cpython-38.pyc,,
transformers/models/speech_encoder_decoder/__pycache__/modeling_flax_speech_encoder_decoder.cpython-38.pyc,,
transformers/models/speech_encoder_decoder/__pycache__/modeling_speech_encoder_decoder.cpython-38.pyc,,
transformers/models/speech_encoder_decoder/configuration_speech_encoder_decoder.py,sha256=JnQcukRGbl3hu1t84gIlyTWiv-Ropb9NNhEAYuKD2J4,5087
transformers/models/speech_encoder_decoder/convert_mbart_wav2vec2_seq2seq_original_to_pytorch.py,sha256=Bsllzz_pTB2Rb6yTPqlW0bSdlxObU3Qbe2JbWGGc_8o,14760
transformers/models/speech_encoder_decoder/convert_speech_to_text_wav2vec2_seq2seq_original_to_pytorch.py,sha256=04swyKsxEHHieCLUFPKzubV4W0ES1mZtbkgv-UDt7po,11971
transformers/models/speech_encoder_decoder/modeling_flax_speech_encoder_decoder.py,sha256=FRPIp163enZJZIoQ34HSutEZ-iUMTMT0q3r42YDroYQ,45067
transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py,sha256=Y7G9qepD86mKQz3Zu8Jgz3ma3takU_U5hz_udaeF1Qo,32945
transformers/models/speech_to_text/__init__.py,sha256=roI2MAe1uxi9rKbDm7HiN6tE2rASZtU3BMZRz-v25ns,3845
transformers/models/speech_to_text/__pycache__/__init__.cpython-38.pyc,,
transformers/models/speech_to_text/__pycache__/configuration_speech_to_text.cpython-38.pyc,,
transformers/models/speech_to_text/__pycache__/convert_s2t_fairseq_to_tfms.cpython-38.pyc,,
transformers/models/speech_to_text/__pycache__/feature_extraction_speech_to_text.cpython-38.pyc,,
transformers/models/speech_to_text/__pycache__/modeling_speech_to_text.cpython-38.pyc,,
transformers/models/speech_to_text/__pycache__/modeling_tf_speech_to_text.cpython-38.pyc,,
transformers/models/speech_to_text/__pycache__/processing_speech_to_text.cpython-38.pyc,,
transformers/models/speech_to_text/__pycache__/tokenization_speech_to_text.cpython-38.pyc,,
transformers/models/speech_to_text/configuration_speech_to_text.py,sha256=Z8NxmZccEXsaUCOtug9vaw3gtdC66baiKpwDu_iI7us,9312
transformers/models/speech_to_text/convert_s2t_fairseq_to_tfms.py,sha256=v-5aSPwuCKCtqwU8gREj9wA2nm14Z97tg6wQ3S47gos,4478
transformers/models/speech_to_text/feature_extraction_speech_to_text.py,sha256=ZBJDZZuhMyaNECLeNiZm3PO6R9TM9I8uS_wWfreWN14,11798
transformers/models/speech_to_text/modeling_speech_to_text.py,sha256=7FIzHfIZSuYu7moWZcML4T0kUjqWwf0mitEZ8M-xO_c,66955
transformers/models/speech_to_text/modeling_tf_speech_to_text.py,sha256=9O3VZr1fbLeN3dvInDfBHzsLzLQ9RKUBgvpcK0FMzqc,68086
transformers/models/speech_to_text/processing_speech_to_text.py,sha256=pYjlghfjwCsuvm0S4TUAqyy8Z533Mj2tatX_yPxw2TI,4817
transformers/models/speech_to_text/tokenization_speech_to_text.py,sha256=GdWXaw-xWUt93g7zjLBfqYp_UByHT_XrTc9-uoPOQ9M,11653
transformers/models/speech_to_text_2/__init__.py,sha256=zkmS9-WZTXByVUJqkt094wHCOT4zyVLO4Rn3B0JBCSo,2166
transformers/models/speech_to_text_2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/speech_to_text_2/__pycache__/configuration_speech_to_text_2.cpython-38.pyc,,
transformers/models/speech_to_text_2/__pycache__/modeling_speech_to_text_2.cpython-38.pyc,,
transformers/models/speech_to_text_2/__pycache__/processing_speech_to_text_2.cpython-38.pyc,,
transformers/models/speech_to_text_2/__pycache__/tokenization_speech_to_text_2.cpython-38.pyc,,
transformers/models/speech_to_text_2/configuration_speech_to_text_2.py,sha256=I7exDWJixP77a0v4WIR9Kp8WTrNp4QuwMDeP50Bubws,6281
transformers/models/speech_to_text_2/modeling_speech_to_text_2.py,sha256=RveoV7WkH8RGUtu_p5zC5NJmWuDpzbYxexKqpoALFts,46328
transformers/models/speech_to_text_2/processing_speech_to_text_2.py,sha256=CGRRDYMyIijchuLKlGepFygXHrnooll98-7fig9AOYM,4789
transformers/models/speech_to_text_2/tokenization_speech_to_text_2.py,sha256=YycvrcHNbitgJ2HptYYvStdfdfpYgiaYNn4-fmMIXJ4,9211
transformers/models/speecht5/__init__.py,sha256=rI6eMJ1n9U8Mtn17i83U2qOhvcOQJudmFYU9roGYUno,2971
transformers/models/speecht5/__pycache__/__init__.cpython-38.pyc,,
transformers/models/speecht5/__pycache__/configuration_speecht5.cpython-38.pyc,,
transformers/models/speecht5/__pycache__/convert_hifigan.cpython-38.pyc,,
transformers/models/speecht5/__pycache__/convert_speecht5_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/speecht5/__pycache__/feature_extraction_speecht5.cpython-38.pyc,,
transformers/models/speecht5/__pycache__/modeling_speecht5.cpython-38.pyc,,
transformers/models/speecht5/__pycache__/processing_speecht5.cpython-38.pyc,,
transformers/models/speecht5/__pycache__/tokenization_speecht5.cpython-38.pyc,,
transformers/models/speecht5/configuration_speecht5.py,sha256=Z59E0tvaiZysLYHfT5J9sLZAeRNAaocCNzTIrULrsT4,23899
transformers/models/speecht5/convert_hifigan.py,sha256=CL9GSX_bimjm_hU2rE55MaNvTUjTtWD6qCtqNMaXy7I,4241
transformers/models/speecht5/convert_speecht5_original_pytorch_checkpoint_to_pytorch.py,sha256=AyAjaeibe3002YZRT2maq1Yi8-iP1j7Ahs5qxYMjiJ0,17194
transformers/models/speecht5/feature_extraction_speecht5.py,sha256=lcKx3NaIXx0PGITRKP0kA8SZK75kd1Sn8PNHLBn-ST0,17809
transformers/models/speecht5/modeling_speecht5.py,sha256=ydc5owppzeNV4d_VBPnGRpHqkktIv_892yDZdzqNVQ0,144023
transformers/models/speecht5/processing_speecht5.py,sha256=WyFf9b2_VnUVdTjwv3lS9gc0B7Rx_o9xVo8OEBsnn98,7561
transformers/models/speecht5/tokenization_speecht5.py,sha256=HEZ2JDhU7bgCRAelIZmJlk5po80pHiDLHn2DsAvoB0Y,8390
transformers/models/splinter/__init__.py,sha256=vo990AmnOkGy7xWuzB4qaAfJNrtFFLOImR4mlSl_jJ8,2532
transformers/models/splinter/__pycache__/__init__.cpython-38.pyc,,
transformers/models/splinter/__pycache__/configuration_splinter.cpython-38.pyc,,
transformers/models/splinter/__pycache__/modeling_splinter.cpython-38.pyc,,
transformers/models/splinter/__pycache__/tokenization_splinter.cpython-38.pyc,,
transformers/models/splinter/__pycache__/tokenization_splinter_fast.cpython-38.pyc,,
transformers/models/splinter/configuration_splinter.py,sha256=keQWkpEciZHrMh31ZbF1Y5EN-qHJ3mdEMjFijPzoUro,6120
transformers/models/splinter/modeling_splinter.py,sha256=VgPgzyiwivYUQfy9WJL2U37LiEaC9_WkNO5vzu2yISY,53633
transformers/models/splinter/tokenization_splinter.py,sha256=tfV9u23twOm_LsBI6HtSbUJmIIAYpoyalgKcACi7Bls,22013
transformers/models/splinter/tokenization_splinter_fast.py,sha256=vlc_KIuy5sNJt2XrY8pavBIlkQaiGeAm46dJyEnpWOo,9657
transformers/models/squeezebert/__init__.py,sha256=G8bhLM5DmRO6oIXmZT-W71i8hZK9589XpyLuwIs6W3M,2996
transformers/models/squeezebert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/squeezebert/__pycache__/configuration_squeezebert.cpython-38.pyc,,
transformers/models/squeezebert/__pycache__/modeling_squeezebert.cpython-38.pyc,,
transformers/models/squeezebert/__pycache__/tokenization_squeezebert.cpython-38.pyc,,
transformers/models/squeezebert/__pycache__/tokenization_squeezebert_fast.cpython-38.pyc,,
transformers/models/squeezebert/configuration_squeezebert.py,sha256=Ov_Jp2qktVXgRu-2BNBYSZIYs_q4aBgcbA3KpkwCF7I,7910
transformers/models/squeezebert/modeling_squeezebert.py,sha256=mz-RlvijfU192Den3nUJZAaAnc81mohCP_67NYJ5nX0,45011
transformers/models/squeezebert/tokenization_squeezebert.py,sha256=yNS4MVEFN0hitUzXTnyZ93Nazp1m8lGJlKkm8lGlyhM,21889
transformers/models/squeezebert/tokenization_squeezebert_fast.py,sha256=bn-bwUxTWSLCf5Yz-t35SdwCGFqRSxLIkbR8l7hEu-4,9397
transformers/models/swiftformer/__init__.py,sha256=y3EVx2oOV5GldnIhqN1uK316Lf68wv3IsTE4HGd2DSc,1990
transformers/models/swiftformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/swiftformer/__pycache__/configuration_swiftformer.cpython-38.pyc,,
transformers/models/swiftformer/__pycache__/convert_swiftformer_original_to_hf.cpython-38.pyc,,
transformers/models/swiftformer/__pycache__/modeling_swiftformer.cpython-38.pyc,,
transformers/models/swiftformer/configuration_swiftformer.py,sha256=U3kDDy_d25WTAjH8SAKb0GEtvyp9FDWGRvZMkAaTVkM,5346
transformers/models/swiftformer/convert_swiftformer_original_to_hf.py,sha256=HsppMeVG__p-Z4sCLcGLnDhXP-AFe6ewWiifyEFL-xA,6239
transformers/models/swiftformer/modeling_swiftformer.py,sha256=z2Djfg5ZNZnZ9NHaD618QTbeGfWwljADJBantJpw8sY,23318
transformers/models/swin/__init__.py,sha256=lsSSO-igADN2rI7RV55GBIB-GG8mRQNnsT9A6J8IFtk,2703
transformers/models/swin/__pycache__/__init__.cpython-38.pyc,,
transformers/models/swin/__pycache__/configuration_swin.cpython-38.pyc,,
transformers/models/swin/__pycache__/convert_swin_simmim_to_pytorch.cpython-38.pyc,,
transformers/models/swin/__pycache__/convert_swin_timm_to_pytorch.cpython-38.pyc,,
transformers/models/swin/__pycache__/modeling_swin.cpython-38.pyc,,
transformers/models/swin/__pycache__/modeling_tf_swin.cpython-38.pyc,,
transformers/models/swin/configuration_swin.py,sha256=PmnQM9RyG1YQIa-bD_VllMMLwjtSiywvZAb9xHYYzL4,7999
transformers/models/swin/convert_swin_simmim_to_pytorch.py,sha256=Zb67GMulOozvN1L66EmQ9gKtLVUmyaWYgq_zPPdbGKs,6627
transformers/models/swin/convert_swin_timm_to_pytorch.py,sha256=WKAiiEOxnv4_yjbLVsU9M50iwE_x0QEvbXrMZK1W_7Q,5805
transformers/models/swin/modeling_swin.py,sha256=QfOAgwj_Eu4Zy-1xA5ghaVd9c0dHPa3xj8fuvzlC_1c,60019
transformers/models/swin/modeling_tf_swin.py,sha256=V-wTkm1Fkhj-O5sFEyOkpK_5p5JXjVaX9u68DPDDtQQ,63770
transformers/models/swin2sr/__init__.py,sha256=Nx5kG4ltMIhcqaGLYh7VYoju_qViNNYZGdGE0p-rz_4,2277
transformers/models/swin2sr/__pycache__/__init__.cpython-38.pyc,,
transformers/models/swin2sr/__pycache__/configuration_swin2sr.cpython-38.pyc,,
transformers/models/swin2sr/__pycache__/convert_swin2sr_original_to_pytorch.cpython-38.pyc,,
transformers/models/swin2sr/__pycache__/image_processing_swin2sr.cpython-38.pyc,,
transformers/models/swin2sr/__pycache__/modeling_swin2sr.cpython-38.pyc,,
transformers/models/swin2sr/configuration_swin2sr.py,sha256=fWxhuPgDwR1C4WVUZ1EnU8rlhSckd_SJIK_6q1QbP-w,6706
transformers/models/swin2sr/convert_swin2sr_original_to_pytorch.py,sha256=eZ1q75t9Na8iF_KkMXK9hHb0O0KyX9Bv1JhO3r94ZLA,11355
transformers/models/swin2sr/image_processing_swin2sr.py,sha256=4IKRp_EWrlzwEhvCcB793wmazmHE4XT3kdlfX6PA998,7713
transformers/models/swin2sr/modeling_swin2sr.py,sha256=80DSU1RfgDBToXAhBGjlTPCnWH5VkUhCASUFtzyO5WQ,51704
transformers/models/swinv2/__init__.py,sha256=MkReYZbR_fB81YEsKFmR5-6JKDlBlx4jjBO-UyBAbU8,1867
transformers/models/swinv2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/swinv2/__pycache__/configuration_swinv2.cpython-38.pyc,,
transformers/models/swinv2/__pycache__/convert_swinv2_timm_to_pytorch.cpython-38.pyc,,
transformers/models/swinv2/__pycache__/modeling_swinv2.cpython-38.pyc,,
transformers/models/swinv2/configuration_swinv2.py,sha256=TnoJv9-a7LIKLZR6xiI6wxdk3MwTfoNB1guSNGY9FH0,6323
transformers/models/swinv2/convert_swinv2_timm_to_pytorch.py,sha256=OMyAAcVPs9DTojiHQCvLo7uTtaChsd1ANTY4IkS7iUY,7687
transformers/models/swinv2/modeling_swinv2.py,sha256=DWeuMHVYsq__E4B0hKfFKpUsfaEk7vOI7jdw24Wk_HM,61510
transformers/models/switch_transformers/__init__.py,sha256=71GlCMK0XfSUSoxmTxWjj-vmLJImHjlJjtUWkptdalA,2484
transformers/models/switch_transformers/__pycache__/__init__.cpython-38.pyc,,
transformers/models/switch_transformers/__pycache__/configuration_switch_transformers.cpython-38.pyc,,
transformers/models/switch_transformers/__pycache__/convert_big_switch.cpython-38.pyc,,
transformers/models/switch_transformers/__pycache__/convert_switch_transformers_original_flax_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/switch_transformers/__pycache__/modeling_switch_transformers.cpython-38.pyc,,
transformers/models/switch_transformers/configuration_switch_transformers.py,sha256=gn8Ae5k230Bgx5XnTyEylFHpW-hgTXjc0uChJPG1nxw,10011
transformers/models/switch_transformers/convert_big_switch.py,sha256=lvgd9M2Mv74Np22gU_rrN2XE5AoAewlDh7atmgAobTk,7649
transformers/models/switch_transformers/convert_switch_transformers_original_flax_checkpoint_to_pytorch.py,sha256=AAJNkPcr_THjPN_8RUnOdBYbbYc6GOqXdgdjhx9FZyw,7593
transformers/models/switch_transformers/modeling_switch_transformers.py,sha256=YHIB6gsPReq6aNyMOv1p-P1zsNmf393IT6xkaJFq-dw,89411
transformers/models/t5/__init__.py,sha256=vThM0n39Fa7rk_sOF3yz6n0ZRZ5EbV9lRryG2kLZPAk,4338
transformers/models/t5/__pycache__/__init__.cpython-38.pyc,,
transformers/models/t5/__pycache__/configuration_t5.cpython-38.pyc,,
transformers/models/t5/__pycache__/convert_t5_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/t5/__pycache__/convert_t5x_checkpoint_to_flax.cpython-38.pyc,,
transformers/models/t5/__pycache__/convert_t5x_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/t5/__pycache__/modeling_flax_t5.cpython-38.pyc,,
transformers/models/t5/__pycache__/modeling_t5.cpython-38.pyc,,
transformers/models/t5/__pycache__/modeling_tf_t5.cpython-38.pyc,,
transformers/models/t5/__pycache__/tokenization_t5.cpython-38.pyc,,
transformers/models/t5/__pycache__/tokenization_t5_fast.cpython-38.pyc,,
transformers/models/t5/configuration_t5.py,sha256=qPUY-KegHWkdn7M-nd_vf4MGqtUBBJII7YPZiUsAyZQ,7460
transformers/models/t5/convert_t5_original_tf_checkpoint_to_pytorch.py,sha256=83tKCwYRSRW7zXtm9cmszqtPhpw44cH8Cj0SWUSBgN0,2120
transformers/models/t5/convert_t5x_checkpoint_to_flax.py,sha256=CET5s9wlNOt-VxT9eu-NOMdNS22kX6mhEZQ-ox2mLK0,10538
transformers/models/t5/convert_t5x_checkpoint_to_pytorch.py,sha256=VMmEspjDAhP43pk-cjpC1NYRpchGfvPzeofpesATqZ8,10365
transformers/models/t5/modeling_flax_t5.py,sha256=Qbmp-I8v23v7UYaooa2bpAPDjkQQ28R6H79fdGs_f4M,74074
transformers/models/t5/modeling_t5.py,sha256=CIcVae2oH5w6qAtqNNItXeXrKToeq5g5lplE6I1NN8c,97295
transformers/models/t5/modeling_tf_t5.py,sha256=QkdsFznBeUn0p_Vbdvx-prApbqtVD-0lQosxJWSKwQ4,71842
transformers/models/t5/tokenization_t5.py,sha256=uXZV_E15h8b-V8FYragM48O7dmSRigflaVAT082AJNA,17968
transformers/models/t5/tokenization_t5_fast.py,sha256=FaVNeQhHuB0vdYFSeFmQUSAVCwdJBkCWvC5GVp5FZQQ,10587
transformers/models/table_transformer/__init__.py,sha256=WHdzgCB7BwXZeZveOSQ2fBQKNsrsRmpdP1f5C2MfYn4,2065
transformers/models/table_transformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/table_transformer/__pycache__/configuration_table_transformer.cpython-38.pyc,,
transformers/models/table_transformer/__pycache__/convert_table_transformer_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/table_transformer/__pycache__/modeling_table_transformer.cpython-38.pyc,,
transformers/models/table_transformer/configuration_table_transformer.py,sha256=5yrXUZzYoetF0kmB7vQ0sdrVST_zmAQd8zWCk81NLe8,12520
transformers/models/table_transformer/convert_table_transformer_original_pytorch_checkpoint_to_pytorch.py,sha256=9FmTzu81QvAa5poJlwGeyuIVHxEYn-3XnG29B685ux8,15076
transformers/models/table_transformer/modeling_table_transformer.py,sha256=kNIZ8TG2Jooc9yb00FlSrS-lXClO3xOif_KPuA-dLgU,92597
transformers/models/tapas/__init__.py,sha256=uGhdu01xgzBDD5edwGpuFl94A2WmFd6FA_U2YWJZReA,2952
transformers/models/tapas/__pycache__/__init__.cpython-38.pyc,,
transformers/models/tapas/__pycache__/configuration_tapas.cpython-38.pyc,,
transformers/models/tapas/__pycache__/convert_tapas_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/tapas/__pycache__/modeling_tapas.cpython-38.pyc,,
transformers/models/tapas/__pycache__/modeling_tf_tapas.cpython-38.pyc,,
transformers/models/tapas/__pycache__/tokenization_tapas.cpython-38.pyc,,
transformers/models/tapas/configuration_tapas.py,sha256=75LYt8VkU1jQ0M3bPrMpeeVtcJilgq4xkdEGqpEIRlY,12900
transformers/models/tapas/convert_tapas_original_tf_checkpoint_to_pytorch.py,sha256=OeIyLEtDJr1z2BEKH0bJNJOR5ZrxRyGM8RpMSC3TgHQ,5049
transformers/models/tapas/modeling_tapas.py,sha256=4ObXJDf0dAaEMBL5upwDM_iZiXmSwBeZSLsXBn2cNfk,111736
transformers/models/tapas/modeling_tf_tapas.py,sha256=xsWfIt1kJBPgjJ-ORwYBZw3xdVWcrklsaJ-OMj3Z7BM,105769
transformers/models/tapas/tokenization_tapas.py,sha256=IF3pg-hm0Hs3_aB6YKYxz8sPGbIjUeTgCO_CBWokXOo,121112
transformers/models/time_series_transformer/__init__.py,sha256=dtXXYFY750gxXLggZYQWy2iaq88scX8TYl021UEZHVs,2069
transformers/models/time_series_transformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/time_series_transformer/__pycache__/configuration_time_series_transformer.cpython-38.pyc,,
transformers/models/time_series_transformer/__pycache__/modeling_time_series_transformer.cpython-38.pyc,,
transformers/models/time_series_transformer/configuration_time_series_transformer.py,sha256=CnVAcfi4lZc09agp3YlVyjvjygor0RiryHPIdYNNadc,12003
transformers/models/time_series_transformer/modeling_time_series_transformer.py,sha256=vWYHVQXkp3wWTz2p6LJXWc-Gh8aZZL53r5DIhmScsCA,90470
transformers/models/timesformer/__init__.py,sha256=eugQ_QcHxuxaGByRRLWyZZ_0ic66Mcz5qdwW_Qt-Nyg,1862
transformers/models/timesformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/timesformer/__pycache__/configuration_timesformer.cpython-38.pyc,,
transformers/models/timesformer/__pycache__/convert_timesformer_to_pytorch.cpython-38.pyc,,
transformers/models/timesformer/__pycache__/modeling_timesformer.cpython-38.pyc,,
transformers/models/timesformer/configuration_timesformer.py,sha256=4FM9AAOPQOKFgXdOWUWX1ntasH6gt8D8sCAdjPB3PqE,5683
transformers/models/timesformer/convert_timesformer_to_pytorch.py,sha256=TjOfPbEC4oVb5tlOgU2m9g36OBizDEEjm0bbcZz6Mq8,10176
transformers/models/timesformer/modeling_timesformer.py,sha256=zDXLHNWp461Gopw-HjOe28kizOhq4CZ42zI9mSe1-3Y,34650
transformers/models/timm_backbone/__init__.py,sha256=rn9y1wXicP1g6IiI_tSWu7fnt5q_x6hfu3g9yQvovEU,1624
transformers/models/timm_backbone/__pycache__/__init__.cpython-38.pyc,,
transformers/models/timm_backbone/__pycache__/configuration_timm_backbone.cpython-38.pyc,,
transformers/models/timm_backbone/__pycache__/modeling_timm_backbone.cpython-38.pyc,,
transformers/models/timm_backbone/configuration_timm_backbone.py,sha256=brsLmvNNtoBGm77T2_h07sKm4KqsdQwQQlsWy3McAOc,2876
transformers/models/timm_backbone/modeling_timm_backbone.py,sha256=Ij2Cw4lf269AnFWsab6xUZt4mMhy642cqZM5trsPnUk,5991
transformers/models/transfo_xl/__init__.py,sha256=Cum-w7kuIgQV7WKfcNztLUnN5PjYfLUzozZoaN9-7zM,3182
transformers/models/transfo_xl/__pycache__/__init__.cpython-38.pyc,,
transformers/models/transfo_xl/__pycache__/configuration_transfo_xl.cpython-38.pyc,,
transformers/models/transfo_xl/__pycache__/convert_transfo_xl_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/transfo_xl/__pycache__/modeling_tf_transfo_xl.cpython-38.pyc,,
transformers/models/transfo_xl/__pycache__/modeling_tf_transfo_xl_utilities.cpython-38.pyc,,
transformers/models/transfo_xl/__pycache__/modeling_transfo_xl.cpython-38.pyc,,
transformers/models/transfo_xl/__pycache__/modeling_transfo_xl_utilities.cpython-38.pyc,,
transformers/models/transfo_xl/__pycache__/tokenization_transfo_xl.cpython-38.pyc,,
transformers/models/transfo_xl/configuration_transfo_xl.py,sha256=62ZQEkyxCGzkOUviuJPZqTlXSMEgDyAXe0NlDPISfDk,7895
transformers/models/transfo_xl/convert_transfo_xl_original_tf_checkpoint_to_pytorch.py,sha256=htwPYhqwRHp1kjTJTt_ziuWhjVEj4cMy-j8rZ3N_qDo,4916
transformers/models/transfo_xl/modeling_tf_transfo_xl.py,sha256=TsXHlpYj8QYFUM7heCaAlS0K60oPSf9tQyfSUDIzTOk,45094
transformers/models/transfo_xl/modeling_tf_transfo_xl_utilities.py,sha256=vMZaqoHC8ntu0A-JtKzgrzTQs9t0zM2ifKhA4jwH6Ig,7597
transformers/models/transfo_xl/modeling_transfo_xl.py,sha256=UjGUBmL2kS0pkfQg2gd3DUm6ClyCFL3GkYGs3uiOjkk,55720
transformers/models/transfo_xl/modeling_transfo_xl_utilities.py,sha256=oZAsrKz41ek-kSV2rvFHyCHfkAM6e5NyqbGCZSxIML4,10861
transformers/models/transfo_xl/tokenization_transfo_xl.py,sha256=BfWyupves_sX614hJwx3wdFnPcqU6Ud-c_LBBf7muH0,30487
transformers/models/trocr/__init__.py,sha256=jevvndvNkGFaA2smYGtlhOnpGG5U6gIhmuwONgXNyeM,1818
transformers/models/trocr/__pycache__/__init__.cpython-38.pyc,,
transformers/models/trocr/__pycache__/configuration_trocr.cpython-38.pyc,,
transformers/models/trocr/__pycache__/convert_trocr_unilm_to_pytorch.cpython-38.pyc,,
transformers/models/trocr/__pycache__/modeling_trocr.cpython-38.pyc,,
transformers/models/trocr/__pycache__/processing_trocr.cpython-38.pyc,,
transformers/models/trocr/configuration_trocr.py,sha256=JMjDrCPnncSwK_1jxgB8WfRjd2KBfNo18fXgGBQY6uk,6778
transformers/models/trocr/convert_trocr_unilm_to_pytorch.py,sha256=bLC3S27ydrVw_KMJCEfov5mjh2dWNFdfuAeM_hjU90o,10155
transformers/models/trocr/modeling_trocr.py,sha256=ePxWKY4R_mij8n1kwRUYdP0niYBxdf0BLLHm3w02heo,47542
transformers/models/trocr/processing_trocr.py,sha256=iaLnZmxLi7QBmKZ_LyBXU4agF9JzEem92tsnUU1RrWE,5720
transformers/models/tvlt/__init__.py,sha256=3hHJeODpJMJ9_06AAz0fAV7QCRljLoJcfXc69YypO9M,2687
transformers/models/tvlt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/tvlt/__pycache__/configuration_tvlt.cpython-38.pyc,,
transformers/models/tvlt/__pycache__/feature_extraction_tvlt.cpython-38.pyc,,
transformers/models/tvlt/__pycache__/image_processing_tvlt.cpython-38.pyc,,
transformers/models/tvlt/__pycache__/modeling_tvlt.cpython-38.pyc,,
transformers/models/tvlt/__pycache__/processing_tvlt.cpython-38.pyc,,
transformers/models/tvlt/configuration_tvlt.py,sha256=onWhEqcKtNlx5x6cTKD0JH0_XzKrtMJv8SNOi2bAZiQ,8760
transformers/models/tvlt/feature_extraction_tvlt.py,sha256=IGRdDOIrdHy_lNh8G2aSRfmfz_NRrDdF6jV3H7h61I4,10507
transformers/models/tvlt/image_processing_tvlt.py,sha256=NWK09wAo6_pJQuIvrv9DHV3yDgsQPqm96mXMYHFI7Gc,20730
transformers/models/tvlt/modeling_tvlt.py,sha256=jaD809Zxpzv3mm4RQlJXVCPy9_P-kXkE4P5PK-tAdvE,57262
transformers/models/tvlt/processing_tvlt.py,sha256=GtL18G1RioLFY7uln2P7kJ8JPrTgAKWJT2YgCGrK-Uc,3505
transformers/models/umt5/__init__.py,sha256=i8axQWC_-UwLeDe7t7Q1X_gs-FSG6Y6k5AVeW5bWCdk,1746
transformers/models/umt5/__pycache__/__init__.cpython-38.pyc,,
transformers/models/umt5/__pycache__/configuration_umt5.cpython-38.pyc,,
transformers/models/umt5/__pycache__/convert_umt5_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/umt5/__pycache__/modeling_umt5.cpython-38.pyc,,
transformers/models/umt5/configuration_umt5.py,sha256=Y9VtcBEIcG0gIdpGUBXRoRhnFtXNkUjuBCGL-nJCgh0,7753
transformers/models/umt5/convert_umt5_checkpoint_to_pytorch.py,sha256=mKcFjDTUYzC4S2faD9UMTQTIl5nwGbOp4QkcFxEEdv8,12070
transformers/models/umt5/modeling_umt5.py,sha256=HgplwNkiSMYUAJssgtcxplXt2yuAdZJyzQhBmPmESzw,73907
transformers/models/unispeech/__init__.py,sha256=n4jtlc-pPF37uUx7mgB1GDnL2lQ-eKDI8xOLVVp840E,2018
transformers/models/unispeech/__pycache__/__init__.cpython-38.pyc,,
transformers/models/unispeech/__pycache__/configuration_unispeech.cpython-38.pyc,,
transformers/models/unispeech/__pycache__/convert_unispeech_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/unispeech/__pycache__/modeling_unispeech.cpython-38.pyc,,
transformers/models/unispeech/configuration_unispeech.py,sha256=vdFVFidGWao6x87LkPvtegvIfHb51013kyMnkwco_0M,17161
transformers/models/unispeech/convert_unispeech_original_pytorch_checkpoint_to_pytorch.py,sha256=bwfIAusfhFih5WJEIIokApShfuYhJoirPltvRz2-T7Y,11340
transformers/models/unispeech/modeling_unispeech.py,sha256=U6nwUKaRLccM8SmkEur_tW7vSAFvzR-b5nK5s7cI7gU,73175
transformers/models/unispeech_sat/__init__.py,sha256=gAf8t9qZaufCDyIyJICzCQTvrmV825BDZUKQoa08DhE,2267
transformers/models/unispeech_sat/__pycache__/__init__.cpython-38.pyc,,
transformers/models/unispeech_sat/__pycache__/configuration_unispeech_sat.cpython-38.pyc,,
transformers/models/unispeech_sat/__pycache__/convert_unispeech_original_s3prl_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/unispeech_sat/__pycache__/convert_unispeech_sat_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/unispeech_sat/__pycache__/modeling_unispeech_sat.cpython-38.pyc,,
transformers/models/unispeech_sat/configuration_unispeech_sat.py,sha256=OauvspcTLifN7JNAZ3l9fZ0dpTybC7aCTtjM-A3A494,18584
transformers/models/unispeech_sat/convert_unispeech_original_s3prl_checkpoint_to_pytorch.py,sha256=CnSYjNr7S7Mqa7Feosf9Dx7eQTYScVHG-QprNkY8uLk,4870
transformers/models/unispeech_sat/convert_unispeech_sat_original_pytorch_checkpoint_to_pytorch.py,sha256=NK_vA71Eq2q9P1x3ol-2Jlqjkv-Mi3NlXO9Ra7QUQsQ,9289
transformers/models/unispeech_sat/modeling_unispeech_sat.py,sha256=LPz8am0ho69q22Ic3-n7-HA12qHWRVMekHKl9GWMpJc,86770
transformers/models/upernet/__init__.py,sha256=z2avy6tP_WpANiGPA5RCxT_9yPp0PfEDlfUjL9rQsXM,1535
transformers/models/upernet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/upernet/__pycache__/configuration_upernet.cpython-38.pyc,,
transformers/models/upernet/__pycache__/convert_convnext_upernet_to_pytorch.cpython-38.pyc,,
transformers/models/upernet/__pycache__/convert_swin_upernet_to_pytorch.cpython-38.pyc,,
transformers/models/upernet/__pycache__/modeling_upernet.cpython-38.pyc,,
transformers/models/upernet/configuration_upernet.py,sha256=vxaPE8y8KD-6CLcSd6JPlZb_iAWL5DA5Rw45DXqmOS4,5439
transformers/models/upernet/convert_convnext_upernet_to_pytorch.py,sha256=l_CJoXwANEE9rm5mwpHwbusIoJLmN8jNGjxsj6WhZrk,10271
transformers/models/upernet/convert_swin_upernet_to_pytorch.py,sha256=lHV8SE_bZnxOo-zEJ21S2nY449uPVc3bpcl2JGKNEjA,14026
transformers/models/upernet/modeling_upernet.py,sha256=m1R6Gb93GZxqMLIHLNZCM5-bD91Si3DEzZUbA0vAGKM,17414
transformers/models/videomae/__init__.py,sha256=Yrv0_yOkvyL6slti-bw1oFR8t8VO8-6b40yF0Lf2uV4,2519
transformers/models/videomae/__pycache__/__init__.cpython-38.pyc,,
transformers/models/videomae/__pycache__/configuration_videomae.cpython-38.pyc,,
transformers/models/videomae/__pycache__/convert_videomae_to_pytorch.cpython-38.pyc,,
transformers/models/videomae/__pycache__/feature_extraction_videomae.cpython-38.pyc,,
transformers/models/videomae/__pycache__/image_processing_videomae.cpython-38.pyc,,
transformers/models/videomae/__pycache__/modeling_videomae.cpython-38.pyc,,
transformers/models/videomae/configuration_videomae.py,sha256=PN0ivdj9g4UFZlv1tJk_fSUAOr7GR-sryiZLkstEf2o,6718
transformers/models/videomae/convert_videomae_to_pytorch.py,sha256=rq2nT2ZJekra1G38kM2DH_qOvcZBDQFNgbCvH3mKZjY,13989
transformers/models/videomae/feature_extraction_videomae.py,sha256=Hg5wmFhkbncqR3nfvtevV6msaUEqvLBf4mtO4aICYTI,1200
transformers/models/videomae/image_processing_videomae.py,sha256=0lLmdKeVqPPpbtSCLKiAV_zLhPkU-DmSdKnoNpzb6xI,17262
transformers/models/videomae/modeling_videomae.py,sha256=J7B77qRWNWBYMpnYkUOoSMUeQLRlmPudjty3KPZJcy0,46972
transformers/models/vilt/__init__.py,sha256=-fruuGWD0urXmb7STgXnrF3QY8J6Z6lfJuTneeL_BsM,2788
transformers/models/vilt/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vilt/__pycache__/configuration_vilt.cpython-38.pyc,,
transformers/models/vilt/__pycache__/convert_vilt_original_to_pytorch.cpython-38.pyc,,
transformers/models/vilt/__pycache__/feature_extraction_vilt.cpython-38.pyc,,
transformers/models/vilt/__pycache__/image_processing_vilt.cpython-38.pyc,,
transformers/models/vilt/__pycache__/modeling_vilt.cpython-38.pyc,,
transformers/models/vilt/__pycache__/processing_vilt.cpython-38.pyc,,
transformers/models/vilt/configuration_vilt.py,sha256=Debx5OBUuu1tIMr-J2tSb9b3b7Lq3cr9T8ps3tzRJ3A,6929
transformers/models/vilt/convert_vilt_original_to_pytorch.py,sha256=2La4dYwCrc_67GVdLXfLCv70c9ksPJ_UUdBgsqmGJgA,12870
transformers/models/vilt/feature_extraction_vilt.py,sha256=dC0Glwc_rDX7zqp8BxRtzaLogQGI4I4CjQCgxU7UORw,1172
transformers/models/vilt/image_processing_vilt.py,sha256=1c1vl-QAGMfwUA1c9glPuuTpIT2rat1vxlhfbKTLpKk,21090
transformers/models/vilt/modeling_vilt.py,sha256=zKZd223THfItZsjJfQMbWBYoo5jxRAGtIaykXxfWnto,65187
transformers/models/vilt/processing_vilt.py,sha256=0PZyOEZ0O4r1SYXzlcH-MTv_yRd2JEjiWkbDLtX39D8,6054
transformers/models/vision_encoder_decoder/__init__.py,sha256=IRQsS-4Bz-cm6B97rSoeC62Z1l1wns0XVDZwBn1KBIU,2627
transformers/models/vision_encoder_decoder/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vision_encoder_decoder/__pycache__/configuration_vision_encoder_decoder.cpython-38.pyc,,
transformers/models/vision_encoder_decoder/__pycache__/modeling_flax_vision_encoder_decoder.cpython-38.pyc,,
transformers/models/vision_encoder_decoder/__pycache__/modeling_tf_vision_encoder_decoder.cpython-38.pyc,,
transformers/models/vision_encoder_decoder/__pycache__/modeling_vision_encoder_decoder.cpython-38.pyc,,
transformers/models/vision_encoder_decoder/configuration_vision_encoder_decoder.py,sha256=qcnXXYY9mQtq7yFPWFRt3phDJ4H-HFD-AchcVgqp4I4,8785
transformers/models/vision_encoder_decoder/modeling_flax_vision_encoder_decoder.py,sha256=6MPMJ2Cau4OkK_cpJyg-QRB5SBfaPW49l-uIF5cwSGg,41661
transformers/models/vision_encoder_decoder/modeling_tf_vision_encoder_decoder.py,sha256=GocoEj1K4qHAHdowcQIkUhtKaENugS1l-1Aft-YizBI,36960
transformers/models/vision_encoder_decoder/modeling_vision_encoder_decoder.py,sha256=pcf5vShF1qCShOx7rhrPPf_6vOhOFoOb8S8oVbZ_zxA,35040
transformers/models/vision_text_dual_encoder/__init__.py,sha256=kULrtY2Ie2eigdn63xnoEqRUlmKm31D9mUCJs4F62Lo,2730
transformers/models/vision_text_dual_encoder/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vision_text_dual_encoder/__pycache__/configuration_vision_text_dual_encoder.cpython-38.pyc,,
transformers/models/vision_text_dual_encoder/__pycache__/modeling_flax_vision_text_dual_encoder.cpython-38.pyc,,
transformers/models/vision_text_dual_encoder/__pycache__/modeling_tf_vision_text_dual_encoder.cpython-38.pyc,,
transformers/models/vision_text_dual_encoder/__pycache__/modeling_vision_text_dual_encoder.cpython-38.pyc,,
transformers/models/vision_text_dual_encoder/__pycache__/processing_vision_text_dual_encoder.cpython-38.pyc,,
transformers/models/vision_text_dual_encoder/configuration_vision_text_dual_encoder.py,sha256=0MMll4h-OBFcy4tz7Tfl9QgTOMuqD0a__gY0UMusM_4,5289
transformers/models/vision_text_dual_encoder/modeling_flax_vision_text_dual_encoder.py,sha256=DGf-z71bwqd0reS5fxtmyPluqfVZ008VfZXPshnzo3E,26682
transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py,sha256=_MQ8_02hATdgdRD7EJAifOTwblCMAxsnGKfDojjGACc,28773
transformers/models/vision_text_dual_encoder/modeling_vision_text_dual_encoder.py,sha256=SxtHHNd84AfylPzJlxRq572jjB-tRu0E22DpsgYhvtk,25315
transformers/models/vision_text_dual_encoder/processing_vision_text_dual_encoder.py,sha256=J1x8Yu6D2TIO_IbpZE5Jkrx8BvgTmCMq4IQ5_i9Wx8k,7010
transformers/models/visual_bert/__init__.py,sha256=OSQEpz1R0NjH9WvGkfsXKq_9LJTGfrHscqYd2xl9S_4,2235
transformers/models/visual_bert/__pycache__/__init__.cpython-38.pyc,,
transformers/models/visual_bert/__pycache__/configuration_visual_bert.cpython-38.pyc,,
transformers/models/visual_bert/__pycache__/convert_visual_bert_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/visual_bert/__pycache__/modeling_visual_bert.cpython-38.pyc,,
transformers/models/visual_bert/configuration_visual_bert.py,sha256=v88FUsyjtoz0In66kMN30PghxRFmKgol5qu5CJ4hi8s,7942
transformers/models/visual_bert/convert_visual_bert_original_pytorch_checkpoint_to_pytorch.py,sha256=BpXgEZ-5LdGIa0NK6BDZd_5VhKCqeWuu2oOQyUqcSRQ,5158
transformers/models/visual_bert/modeling_visual_bert.py,sha256=7r35d87uBuOodbgA1yp4eUW7c2JLI0CXXlIPS04AoZc,69820
transformers/models/vit/__init__.py,sha256=Kw3Pan4rUcu6RQsA7u-DpxMlmbzdmrA7GA3ha3nYO5k,3598
transformers/models/vit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vit/__pycache__/configuration_vit.cpython-38.pyc,,
transformers/models/vit/__pycache__/convert_dino_to_pytorch.cpython-38.pyc,,
transformers/models/vit/__pycache__/convert_vit_timm_to_pytorch.cpython-38.pyc,,
transformers/models/vit/__pycache__/feature_extraction_vit.cpython-38.pyc,,
transformers/models/vit/__pycache__/image_processing_vit.cpython-38.pyc,,
transformers/models/vit/__pycache__/modeling_flax_vit.cpython-38.pyc,,
transformers/models/vit/__pycache__/modeling_tf_vit.cpython-38.pyc,,
transformers/models/vit/__pycache__/modeling_vit.cpython-38.pyc,,
transformers/models/vit/configuration_vit.py,sha256=AusRb8Y6HPUBMQEmz1QdWSa6UHZ6e1daqTo_XjQ_hB4,5835
transformers/models/vit/convert_dino_to_pytorch.py,sha256=CIkbWDBEgW5jmSWWoPZOosLLqCFiUz8oYgnj48JdtSM,8854
transformers/models/vit/convert_vit_timm_to_pytorch.py,sha256=LDvdMtC_S_brFi4NZ7fD82UciIKFpQrPkoVfaFDDQqM,10184
transformers/models/vit/feature_extraction_vit.py,sha256=R-W_HNOybSpKxKGKfo4iDB4zGTRHeW1cq-29iwnbVl4,1165
transformers/models/vit/image_processing_vit.py,sha256=nfr37_La8QVsxVXMKyxS_baGPqCzNY6y7NvXD8kuWzM,13287
transformers/models/vit/modeling_flax_vit.py,sha256=Qf5ab2_dnBdnzv-nncDM4nrEdaWSrI1q1b0bYtJT-9E,25333
transformers/models/vit/modeling_tf_vit.py,sha256=bELmnkbvVgtTWMDvwCnqgRZZnlWl9rRq9kWFC_cguwM,31869
transformers/models/vit/modeling_vit.py,sha256=2UkbuB1z34lkBpgMdTawWl45be9CfN6mMO7VSc_zOX0,35989
transformers/models/vit_hybrid/__init__.py,sha256=kJffDq49Rz34fkQnLISzCp18xqXkVFOIWciOsZMjc2I,2316
transformers/models/vit_hybrid/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vit_hybrid/__pycache__/configuration_vit_hybrid.cpython-38.pyc,,
transformers/models/vit_hybrid/__pycache__/convert_vit_hybrid_timm_to_pytorch.cpython-38.pyc,,
transformers/models/vit_hybrid/__pycache__/image_processing_vit_hybrid.cpython-38.pyc,,
transformers/models/vit_hybrid/__pycache__/modeling_vit_hybrid.cpython-38.pyc,,
transformers/models/vit_hybrid/configuration_vit_hybrid.py,sha256=46cpW7LhGhS6CxX3DAU_LVy1X4Q6bMBe8_c7FIlckD4,7223
transformers/models/vit_hybrid/convert_vit_hybrid_timm_to_pytorch.py,sha256=MymDN5E1N5g1g5k0mK0M-F2VeYy_Me-hRWdVNTRFocA,13413
transformers/models/vit_hybrid/image_processing_vit_hybrid.py,sha256=ERyRi3_NIi0ryh4xPgQcajQkVlOAAzItVzIaEhCxgUk,16128
transformers/models/vit_hybrid/modeling_vit_hybrid.py,sha256=6uJaavprv1wbk0URVV8TfpWlH-UmRjmLalGs1IVILLM,32287
transformers/models/vit_mae/__init__.py,sha256=-w9MTkUgGkYCX6q37upqBk7x-8g247YxYGVVAEJkIzk,2428
transformers/models/vit_mae/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vit_mae/__pycache__/configuration_vit_mae.cpython-38.pyc,,
transformers/models/vit_mae/__pycache__/convert_vit_mae_to_pytorch.cpython-38.pyc,,
transformers/models/vit_mae/__pycache__/modeling_tf_vit_mae.cpython-38.pyc,,
transformers/models/vit_mae/__pycache__/modeling_vit_mae.cpython-38.pyc,,
transformers/models/vit_mae/configuration_vit_mae.py,sha256=suVAJjlR9bvwwfeDkiWkBU67niBgqjftp-ovGUlGCuI,6568
transformers/models/vit_mae/convert_vit_mae_to_pytorch.py,sha256=Nj4Y5LS8H7xbyWNeLE9Vn0NFyXSQQYEcj1QQMzN1Hdg,7516
transformers/models/vit_mae/modeling_tf_vit_mae.py,sha256=ELH6wnhlzSVoX7AcEizFF3st4pCpO9fuv7wt0emZLlc,47226
transformers/models/vit_mae/modeling_vit_mae.py,sha256=Hsaimt3kwi14BijLvgQL_LDbayh7GsbII3M2F4QrmDs,43355
transformers/models/vit_msn/__init__.py,sha256=4VVe0aSuBzHjTg4X2nuVet-9DgD5_dWlFkbLAr4bilc,1783
transformers/models/vit_msn/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vit_msn/__pycache__/configuration_vit_msn.cpython-38.pyc,,
transformers/models/vit_msn/__pycache__/convert_msn_to_pytorch.cpython-38.pyc,,
transformers/models/vit_msn/__pycache__/modeling_vit_msn.cpython-38.pyc,,
transformers/models/vit_msn/configuration_vit_msn.py,sha256=lB_FNqpQF4JIYq9Lme4keliEulDskJ_puxlFphQuqL0,5062
transformers/models/vit_msn/convert_msn_to_pytorch.py,sha256=1xBjqvbviFkGxhi_xq2956R7qZpFEBdKPNOQYb-SoIA,9841
transformers/models/vit_msn/modeling_vit_msn.py,sha256=Xo1fEhGrRwBGsjjHk2GBSvjbhUmjmewlLxVJVCaFhvQ,30091
transformers/models/vivit/__init__.py,sha256=Ajx0pvLrGGMBJruIaFHvqJiQyAM9BI9qLRi-5kyRT10,2441
transformers/models/vivit/__pycache__/__init__.cpython-38.pyc,,
transformers/models/vivit/__pycache__/configuration_vivit.cpython-38.pyc,,
transformers/models/vivit/__pycache__/convert_vivit_flax_to_pytorch.cpython-38.pyc,,
transformers/models/vivit/__pycache__/image_processing_vivit.cpython-38.pyc,,
transformers/models/vivit/__pycache__/modeling_vivit.cpython-38.pyc,,
transformers/models/vivit/configuration_vivit.py,sha256=0JAK7g68e8d8WzUYlTOiiKAW80dV-eObZn6u7DHx3as,5368
transformers/models/vivit/convert_vivit_flax_to_pytorch.py,sha256=aDtWh-ErAqB22h2Rt70NhzZ8kNxBSRxu_XsgzLPOC98,9145
transformers/models/vivit/image_processing_vivit.py,sha256=VXadZbCbyjM68ZdoEQgwf6LCLl4VT3MA7amhR91y1TQ,18469
transformers/models/vivit/modeling_vivit.py,sha256=WaI-UyXxM9rLShmvdR05dGegc6XztDMmJqaOzzYef24,28976
transformers/models/wav2vec2/__init__.py,sha256=eN9LbGY56T2Kz38zw3ChsiOkOHprtc4CgQjT8DSrUds,4139
transformers/models/wav2vec2/__pycache__/__init__.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/configuration_wav2vec2.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/convert_wav2vec2_original_s3prl_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/feature_extraction_wav2vec2.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/modeling_flax_wav2vec2.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/modeling_tf_wav2vec2.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/modeling_wav2vec2.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/processing_wav2vec2.cpython-38.pyc,,
transformers/models/wav2vec2/__pycache__/tokenization_wav2vec2.cpython-38.pyc,,
transformers/models/wav2vec2/configuration_wav2vec2.py,sha256=NPqNr11JldumSHEc5uVbE4lJbuysyZ2kVxFV4Gb0ie0,20142
transformers/models/wav2vec2/convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py,sha256=hhc_QSStY43_pj4bIQf0TUWfiJo1KGkPuMTl16dP-ng,14293
transformers/models/wav2vec2/convert_wav2vec2_original_s3prl_checkpoint_to_pytorch.py,sha256=CMjcWPEsvvPpX-OlMUJQxHNDErbJbDVqVSCoqo-9hDk,4838
transformers/models/wav2vec2/feature_extraction_wav2vec2.py,sha256=D-yqFIpwjn_7LYJUmdnelRsn4qsoUrkZGX4Qsp5Y9CY,11511
transformers/models/wav2vec2/modeling_flax_wav2vec2.py,sha256=iLm6d5m0LYQs0qKqg3Tdx7I6vgCB5QCmFY6MYrKu0RA,57331
transformers/models/wav2vec2/modeling_tf_wav2vec2.py,sha256=z8oSQeeAhb-j6ThdBslaSVIhidRp9B69u9A19NC6z-A,70405
transformers/models/wav2vec2/modeling_wav2vec2.py,sha256=FppycM5wTzLBcfEStf6VX0vWfMJ-SPBSgIS29QNZvbg,106131
transformers/models/wav2vec2/processing_wav2vec2.py,sha256=8UsLircCdHNuAWUWVRkxrC0fsHwurGrzhzkKhgq2kFA,7136
transformers/models/wav2vec2/tokenization_wav2vec2.py,sha256=43-9TBXne60kyGpGvGUP6j6h7_zH2UGr_6yMNrAEa3A,41063
transformers/models/wav2vec2_conformer/__init__.py,sha256=w6Z-Rd5ONNTFI-ioN5VvNPhW842-_rKASoHN6lGeJx4,2375
transformers/models/wav2vec2_conformer/__pycache__/__init__.cpython-38.pyc,,
transformers/models/wav2vec2_conformer/__pycache__/configuration_wav2vec2_conformer.cpython-38.pyc,,
transformers/models/wav2vec2_conformer/__pycache__/convert_wav2vec2_conformer_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/wav2vec2_conformer/__pycache__/modeling_wav2vec2_conformer.cpython-38.pyc,,
transformers/models/wav2vec2_conformer/configuration_wav2vec2_conformer.py,sha256=UpRof5CvkmrvSkUkuc40ziVRpHFktS4vtAwZTBa6KNY,20919
transformers/models/wav2vec2_conformer/convert_wav2vec2_conformer_original_pytorch_checkpoint_to_pytorch.py,sha256=D8rojgR8DRaqVTZwYXd2qykIKlKf7EnMM6h3PzYPS0M,13382
transformers/models/wav2vec2_conformer/modeling_wav2vec2_conformer.py,sha256=RvWsIREl6Nylj_6aiFetAgFZdQtVhICypL8i-b4djX4,95737
transformers/models/wav2vec2_phoneme/__init__.py,sha256=E2xRyViyzCISV8XE7YQ1gx5Wlx9_ACoPDB6ZZEm9bWo,993
transformers/models/wav2vec2_phoneme/__pycache__/__init__.cpython-38.pyc,,
transformers/models/wav2vec2_phoneme/__pycache__/tokenization_wav2vec2_phoneme.cpython-38.pyc,,
transformers/models/wav2vec2_phoneme/tokenization_wav2vec2_phoneme.py,sha256=-NPPHPIpQdP5XOCojtpbkkMbiZN6wnC8y6oqZuDjCMI,26089
transformers/models/wav2vec2_with_lm/__init__.py,sha256=d_lvk8QAia4BIKN7d_Uy3HdRqrDp_ZJHTDZ-nkHKwPA,981
transformers/models/wav2vec2_with_lm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/wav2vec2_with_lm/__pycache__/processing_wav2vec2_with_lm.cpython-38.pyc,,
transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py,sha256=0mDnVK4kRdktBO9Wlg74nhfTA_G8dV-xnHOq8xkbeb4,29648
transformers/models/wavlm/__init__.py,sha256=puMYnJLkFpkYKq7oH_ziapvzFYZMOyTHDqpN8IxzJPw,1959
transformers/models/wavlm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/wavlm/__pycache__/configuration_wavlm.cpython-38.pyc,,
transformers/models/wavlm/__pycache__/convert_wavlm_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/wavlm/__pycache__/convert_wavlm_original_s3prl_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/wavlm/__pycache__/modeling_wavlm.cpython-38.pyc,,
transformers/models/wavlm/configuration_wavlm.py,sha256=AVodM_z-maznhq2NfIyc-oD47rNBR44t8mCW0iVXkaU,18605
transformers/models/wavlm/convert_wavlm_original_pytorch_checkpoint_to_pytorch.py,sha256=tYQiS5CUNYoMWyxKnmkmDG6VW0lwapFxTrDSz4Pprm0,8580
transformers/models/wavlm/convert_wavlm_original_s3prl_checkpoint_to_pytorch.py,sha256=Yo4K3ZxH5KXS3gCD7KTakUviJABV-gJGJHXFeV5Sc9I,4814
transformers/models/wavlm/modeling_wavlm.py,sha256=l3llN12YRRse7c28etMTjWpria64bXpd9zg8X0lpXpY,78999
transformers/models/whisper/__init__.py,sha256=RaNRqlU-ygZ8hv6T1piMvHPjOgG687LTTpFwZdnLxEA,4284
transformers/models/whisper/__pycache__/__init__.cpython-38.pyc,,
transformers/models/whisper/__pycache__/configuration_whisper.cpython-38.pyc,,
transformers/models/whisper/__pycache__/convert_openai_to_hf.cpython-38.pyc,,
transformers/models/whisper/__pycache__/english_normalizer.cpython-38.pyc,,
transformers/models/whisper/__pycache__/feature_extraction_whisper.cpython-38.pyc,,
transformers/models/whisper/__pycache__/modeling_flax_whisper.cpython-38.pyc,,
transformers/models/whisper/__pycache__/modeling_tf_whisper.cpython-38.pyc,,
transformers/models/whisper/__pycache__/modeling_whisper.cpython-38.pyc,,
transformers/models/whisper/__pycache__/processing_whisper.cpython-38.pyc,,
transformers/models/whisper/__pycache__/tokenization_whisper.cpython-38.pyc,,
transformers/models/whisper/__pycache__/tokenization_whisper_fast.cpython-38.pyc,,
transformers/models/whisper/configuration_whisper.py,sha256=ubNA4lqNW4qGw_vXVcCVmW4RlLAM9WnaGM0Oabonsus,17052
transformers/models/whisper/convert_openai_to_hf.py,sha256=gSN1C_Hgcy7wCb6RZ7lg-jcAt0KOTg8Y7PnsxKG9z3A,7602
transformers/models/whisper/english_normalizer.py,sha256=MTJ16OhstprR2X8owfEJmONqkoSHHyzztENejmEhSBM,22822
transformers/models/whisper/feature_extraction_whisper.py,sha256=hFNElqaLNVsySp7cEh1hzZApBxVc_uH7XZyL1sOBAJg,12240
transformers/models/whisper/modeling_flax_whisper.py,sha256=gZBlk5s6RmRD56oysLcOR6rBaYrTK5N5Mgyw7Y-suf0,72572
transformers/models/whisper/modeling_tf_whisper.py,sha256=nEhTcn4UH-5qVNH7fkcwbHd9-J4q6nE4oRYihoSFB20,77654
transformers/models/whisper/modeling_whisper.py,sha256=Qg4rOLxydZP03xTPgFIsTAqeT9lKnw1BLpvluf8r18A,93218
transformers/models/whisper/processing_whisper.py,sha256=qUfVuUCyj1kLJUm0tW6JntldbjH-1lWVyDSNxd9JEF8,3890
transformers/models/whisper/tokenization_whisper.py,sha256=Bw39zynCZmoq0JQgrFRgShuHuO8sGH8nwRr7loKCct0,49340
transformers/models/whisper/tokenization_whisper_fast.py,sha256=XbJVH9wVKqgppaQHfZnY4LP1dn4n4SeoamuKW0_F8bc,26137
transformers/models/x_clip/__init__.py,sha256=zWhh0KIKf1OaB3EezBv6YkgaxTESvEesITGqhiZYgHs,2053
transformers/models/x_clip/__pycache__/__init__.cpython-38.pyc,,
transformers/models/x_clip/__pycache__/configuration_x_clip.cpython-38.pyc,,
transformers/models/x_clip/__pycache__/convert_x_clip_original_pytorch_to_hf.cpython-38.pyc,,
transformers/models/x_clip/__pycache__/modeling_x_clip.cpython-38.pyc,,
transformers/models/x_clip/__pycache__/processing_x_clip.cpython-38.pyc,,
transformers/models/x_clip/configuration_x_clip.py,sha256=Tq4rTBnumaZizEJDPUExe8nDej1hE3V6_IWPAd07ht0,21041
transformers/models/x_clip/convert_x_clip_original_pytorch_to_hf.py,sha256=WzXe8IKqSz4Bi78EIvRA6C3QiLL4c-SpARggHjIWtt4,18066
transformers/models/x_clip/modeling_x_clip.py,sha256=v-xPaRwQ0gwNyXMLrmzwbWxKva6J87c_PsUmSASLnAk,70568
transformers/models/x_clip/processing_x_clip.py,sha256=iu8r2H7QFW0j03pir-HB37lrn1DogF9TjU3DkwXP_eQ,6872
transformers/models/xglm/__init__.py,sha256=gSzCOADmOA0n4CxfKEhESj32_WqQ6ae6e0QjYyaJ-gs,3871
transformers/models/xglm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/xglm/__pycache__/configuration_xglm.cpython-38.pyc,,
transformers/models/xglm/__pycache__/convert_xglm_original_ckpt_to_trfms.cpython-38.pyc,,
transformers/models/xglm/__pycache__/modeling_flax_xglm.cpython-38.pyc,,
transformers/models/xglm/__pycache__/modeling_tf_xglm.cpython-38.pyc,,
transformers/models/xglm/__pycache__/modeling_xglm.cpython-38.pyc,,
transformers/models/xglm/__pycache__/tokenization_xglm.cpython-38.pyc,,
transformers/models/xglm/__pycache__/tokenization_xglm_fast.cpython-38.pyc,,
transformers/models/xglm/configuration_xglm.py,sha256=Mp82F0hbAmeQCkFyix-mQsirXCKoNMal6BGNZC2b0_s,6055
transformers/models/xglm/convert_xglm_original_ckpt_to_trfms.py,sha256=9fjXP40nMFbiI9H0VV66Buqk9JQrPhAFERCOBYHl_7g,2325
transformers/models/xglm/modeling_flax_xglm.py,sha256=I9_44yS_xsyZUh1jz4Ssge4h45rf8UxoebPsYOr0ffw,33123
transformers/models/xglm/modeling_tf_xglm.py,sha256=LMzJFAeOZC9CghcVtLEobqcZEv651kWYrv9YFyHeZjc,41806
transformers/models/xglm/modeling_xglm.py,sha256=ANwQo3yc10_qG8XLUDSCQOJJINWN1RdKJjsTmUznd9A,40819
transformers/models/xglm/tokenization_xglm.py,sha256=EbKcMjSNnMICiUF04kaiBA5NXlTEvHyAkqaWMYVruMk,13277
transformers/models/xglm/tokenization_xglm_fast.py,sha256=OCh4kMXrfq36z-bN3nVIAvY1Tq0xb-Esvd0sqpvP6-M,8033
transformers/models/xlm/__init__.py,sha256=tYpOIDQrMDWgJJ-OTPmX2NZngDrxqo47NRfA1dyNQgY,3292
transformers/models/xlm/__pycache__/__init__.cpython-38.pyc,,
transformers/models/xlm/__pycache__/configuration_xlm.cpython-38.pyc,,
transformers/models/xlm/__pycache__/convert_xlm_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/xlm/__pycache__/modeling_tf_xlm.cpython-38.pyc,,
transformers/models/xlm/__pycache__/modeling_xlm.cpython-38.pyc,,
transformers/models/xlm/__pycache__/tokenization_xlm.cpython-38.pyc,,
transformers/models/xlm/configuration_xlm.py,sha256=JebmchGBlDELaoJhrgKH96wLklxaZwlBeIWNp2MNZBc,11975
transformers/models/xlm/convert_xlm_original_pytorch_checkpoint_to_pytorch.py,sha256=R2wBMzp-IIiBhTOHrgYacy3bX79BN1dh_DdHcO7fE1Y,2934
transformers/models/xlm/modeling_tf_xlm.py,sha256=0ngAP_gzpX0qfDgDi8rEzBmP-BjHNc-EV5yCBFkQqZs,51632
transformers/models/xlm/modeling_xlm.py,sha256=8kL_4hv75NhPxzFiuRePqI5VrmEw-JZIRgJNZ6v0LN4,54911
transformers/models/xlm/tokenization_xlm.py,sha256=l45uY-8PvOJv6DZd3TPuHHJt7PvPXfad4S-5HR54Was,34960
transformers/models/xlm_prophetnet/__init__.py,sha256=_YI-mEgntKjkMoW1RztiRlYdwvonIVpmO2ZQjm6Gezc,2615
transformers/models/xlm_prophetnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/xlm_prophetnet/__pycache__/configuration_xlm_prophetnet.cpython-38.pyc,,
transformers/models/xlm_prophetnet/__pycache__/modeling_xlm_prophetnet.cpython-38.pyc,,
transformers/models/xlm_prophetnet/__pycache__/tokenization_xlm_prophetnet.cpython-38.pyc,,
transformers/models/xlm_prophetnet/configuration_xlm_prophetnet.py,sha256=DaHWBlP4B4vNTZ4O2PRRTefO9CHUK5RyVo7FZ7axQdg,9125
transformers/models/xlm_prophetnet/modeling_xlm_prophetnet.py,sha256=sem5nnFdLwb7miSn_dWRpI_kMCosCOQpT3ujK8Xc__Y,118980
transformers/models/xlm_prophetnet/tokenization_xlm_prophetnet.py,sha256=ssDsLYFBNg_oxgDwyI0zY8fg8Loa4kIeSu7-pp9ZXN0,13908
transformers/models/xlm_roberta/__init__.py,sha256=Uhk9z5Xv2w8KrHfe0Hzc5ndpgmn5k6_dcZw6OCWye1A,5825
transformers/models/xlm_roberta/__pycache__/__init__.cpython-38.pyc,,
transformers/models/xlm_roberta/__pycache__/configuration_xlm_roberta.cpython-38.pyc,,
transformers/models/xlm_roberta/__pycache__/modeling_flax_xlm_roberta.cpython-38.pyc,,
transformers/models/xlm_roberta/__pycache__/modeling_tf_xlm_roberta.cpython-38.pyc,,
transformers/models/xlm_roberta/__pycache__/modeling_xlm_roberta.cpython-38.pyc,,
transformers/models/xlm_roberta/__pycache__/tokenization_xlm_roberta.cpython-38.pyc,,
transformers/models/xlm_roberta/__pycache__/tokenization_xlm_roberta_fast.cpython-38.pyc,,
transformers/models/xlm_roberta/configuration_xlm_roberta.py,sha256=5KqsCR_gLxtoQw12ZbFv5K9wi39xOaiWxxTIwJgedts,8346
transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py,sha256=oRQEToLK7I5HDlhq-gZN79zX55gkttbg3182Q9xJWSo,58614
transformers/models/xlm_roberta/modeling_tf_xlm_roberta.py,sha256=Df-hY94SyLemLaArTOpxLj4KxhSyPYSkITplA1BIkys,73898
transformers/models/xlm_roberta/modeling_xlm_roberta.py,sha256=Iy8URuvdbKV4OCSGbbHU9a-PIIiG4GXMuxF4H0YHTN8,72944
transformers/models/xlm_roberta/tokenization_xlm_roberta.py,sha256=QKPudU1ZnQ7QQGHIjRl-YB5rkys5gX2Iqheqoq8u56A,14285
transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py,sha256=6znQncObYbTiJidIAmBpjxSmPpK5nA9poTGZI-BHha4,10264
transformers/models/xlm_roberta_xl/__init__.py,sha256=Q3eFSJ5cKAt-2cJLXKdWW28TLujRqjebIBzlqSvK0U4,2405
transformers/models/xlm_roberta_xl/__pycache__/__init__.cpython-38.pyc,,
transformers/models/xlm_roberta_xl/__pycache__/configuration_xlm_roberta_xl.cpython-38.pyc,,
transformers/models/xlm_roberta_xl/__pycache__/convert_xlm_roberta_xl_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/xlm_roberta_xl/__pycache__/modeling_xlm_roberta_xl.cpython-38.pyc,,
transformers/models/xlm_roberta_xl/configuration_xlm_roberta_xl.py,sha256=ubBsdF7k-Eas144Y-qc9qi87SFpSPv0Ag3LgoBvAhyo,7595
transformers/models/xlm_roberta_xl/convert_xlm_roberta_xl_original_pytorch_checkpoint_to_pytorch.py,sha256=zVa6azx9rd33D3JkH2uqJ6W20TosJyWi9eLm3LNtc5U,8228
transformers/models/xlm_roberta_xl/modeling_xlm_roberta_xl.py,sha256=hWbARqbJDESgyvIpbx2jXTtD0uYQaXXUniw9aKFIVR4,68793
transformers/models/xlnet/__init__.py,sha256=-jvIW4RkN8qTjJPEEmIvK6pO8c9NB0Q4JlzY7CWHWUI,4288
transformers/models/xlnet/__pycache__/__init__.cpython-38.pyc,,
transformers/models/xlnet/__pycache__/configuration_xlnet.cpython-38.pyc,,
transformers/models/xlnet/__pycache__/convert_xlnet_original_tf_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/xlnet/__pycache__/modeling_tf_xlnet.cpython-38.pyc,,
transformers/models/xlnet/__pycache__/modeling_xlnet.cpython-38.pyc,,
transformers/models/xlnet/__pycache__/tokenization_xlnet.cpython-38.pyc,,
transformers/models/xlnet/__pycache__/tokenization_xlnet_fast.cpython-38.pyc,,
transformers/models/xlnet/configuration_xlnet.py,sha256=vlQoXgMDG1lq1pJ_FtIZ0EZahZn_8yYd0RP_andHEXM,11143
transformers/models/xlnet/convert_xlnet_original_tf_checkpoint_to_pytorch.py,sha256=iodIP1W2FNMjel9V31jR7RcHqs8zGX8TK3YdQ65lEbk,3688
transformers/models/xlnet/modeling_tf_xlnet.py,sha256=jhluY9lvtlYpd5FqKqh8lpmlWt_thOGK3ckFMpRcs84,73071
transformers/models/xlnet/modeling_xlnet.py,sha256=PBea6vdR-J43HD2thlyRM_xzzNjH2CyMaEZvjwOA_38,92846
transformers/models/xlnet/tokenization_xlnet.py,sha256=EtH0_cTbhtvtCdcW6GC1MMWaQCqf2sDv6AiVFnZ-Szs,16191
transformers/models/xlnet/tokenization_xlnet_fast.py,sha256=sOAzWhf6EkEPmGQYdhjFmrXRkZoTKyoBOnXihLu0jqg,10026
transformers/models/xmod/__init__.py,sha256=uoKu7ACrFCEwDUwL06kwYCcUbHt9P3bLIcHLtMtjw-I,2325
transformers/models/xmod/__pycache__/__init__.cpython-38.pyc,,
transformers/models/xmod/__pycache__/configuration_xmod.cpython-38.pyc,,
transformers/models/xmod/__pycache__/convert_xmod_original_pytorch_checkpoint_to_pytorch.cpython-38.pyc,,
transformers/models/xmod/__pycache__/modeling_xmod.cpython-38.pyc,,
transformers/models/xmod/configuration_xmod.py,sha256=2YVetcHX6usNy-xITvTyl3E207gNJ1gY4Qg7jtlkD3w,10145
transformers/models/xmod/convert_xmod_original_pytorch_checkpoint_to_pytorch.py,sha256=yFSAtXjxbAy6uXBg2XinRbk3VSEBOsWj1ugBhVNrGjQ,9859
transformers/models/xmod/modeling_xmod.py,sha256=C8o3G_vX7QGL6On6KhZoCPNsOslq6zaWQA7buj6n0Sk,76513
transformers/models/yolos/__init__.py,sha256=DwUvf4HvS249i-g_ykayoDwxJnO7yH4pUJ7UhDE36iY,2400
transformers/models/yolos/__pycache__/__init__.cpython-38.pyc,,
transformers/models/yolos/__pycache__/configuration_yolos.cpython-38.pyc,,
transformers/models/yolos/__pycache__/convert_yolos_to_pytorch.cpython-38.pyc,,
transformers/models/yolos/__pycache__/feature_extraction_yolos.cpython-38.pyc,,
transformers/models/yolos/__pycache__/image_processing_yolos.cpython-38.pyc,,
transformers/models/yolos/__pycache__/modeling_yolos.cpython-38.pyc,,
transformers/models/yolos/configuration_yolos.py,sha256=ec2piVpFkSbBUYiXR3xwu3nOGLMiYbT0HK5ea-cCPHA,7790
transformers/models/yolos/convert_yolos_to_pytorch.py,sha256=g9sI7E-yfoyuXLc2OlN5bFxkc6ZTM243T1Wi8eUwnT0,11259
transformers/models/yolos/feature_extraction_yolos.py,sha256=54LFJ4SyTKil2QFMqEMwuAA4Vzh8YPU0pyczJ1Vjy7o,1179
transformers/models/yolos/image_processing_yolos.py,sha256=hdC9w1JbLRPk_UOGHMHIu7DSgaSE-3OYotXtsug-ZsQ,52795
transformers/models/yolos/modeling_yolos.py,sha256=7vVJsHZmjl_BqnQ3BdIh_I15cylm562i2QUs2_1URvc,58800
transformers/models/yoso/__init__.py,sha256=oV8Bo29EwsQRWVZy2nIaea2ArpOnhkENfp0nFfSKcB4,2074
transformers/models/yoso/__pycache__/__init__.cpython-38.pyc,,
transformers/models/yoso/__pycache__/configuration_yoso.cpython-38.pyc,,
transformers/models/yoso/__pycache__/convert_yoso_pytorch_to_pytorch.cpython-38.pyc,,
transformers/models/yoso/__pycache__/modeling_yoso.cpython-38.pyc,,
transformers/models/yoso/configuration_yoso.py,sha256=Smmd2WBt4cEnrB8klQIXdMYFahsG2eIRBgZsMd6ULJY,6902
transformers/models/yoso/convert_yoso_pytorch_to_pytorch.py,sha256=VjPOSLINfkiaHx8M3dTNMdC8hXh3M1yyhIQ9t4Vzqk0,4115
transformers/models/yoso/modeling_yoso.py,sha256=ii6nJM9CmQLlf0zo9u0S5whHwLuP-S6kxI321ebC7fU,55064
transformers/onnx/__init__.py,sha256=wALLY4TPOK2iPrFcfZf_WiEmTRAU6dAWHElxGdexr58,1548
transformers/onnx/__main__.py,sha256=X9Qp23B29eoO3Jf8mboAWCFi3dqoqlme5hdgZgpgANY,9519
transformers/onnx/__pycache__/__init__.cpython-38.pyc,,
transformers/onnx/__pycache__/__main__.cpython-38.pyc,,
transformers/onnx/__pycache__/config.cpython-38.pyc,,
transformers/onnx/__pycache__/convert.cpython-38.pyc,,
transformers/onnx/__pycache__/features.cpython-38.pyc,,
transformers/onnx/__pycache__/utils.cpython-38.pyc,,
transformers/onnx/config.py,sha256=zPDgC_HSLmMeqPkcLv_Y8EfbfLLEDLqPrvrfQCRyhl8,32556
transformers/onnx/convert.py,sha256=4fL2A2BCqjRv-loIFOMxqvtBCSVEoqAhDD-GaArNgMU,21258
transformers/onnx/features.py,sha256=GSuwZj760THxAkDmJYROt43La0GaY-bA19j2bE-XYVI,28264
transformers/onnx/utils.py,sha256=39Uw_GkFBsTb6ZvMIHRTnI289aQDhc6hwfEapaBGE-o,3625
transformers/optimization.py,sha256=iiX5V3lIrg40Sw2YQALm1qxF_XrJLKAoUHEIxYtq8Hc,31644
transformers/optimization_tf.py,sha256=_WGnDezPWBa2ZSCV3Fbp1Ic0LQuHVAvMr_6wbV3GcRI,16583
transformers/pipelines/__init__.py,sha256=ah4-mAfBX9n6qcPpVgbK0Hg2KWHOjFwWnziXReo6BqY,46315
transformers/pipelines/__pycache__/__init__.cpython-38.pyc,,
transformers/pipelines/__pycache__/audio_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/audio_utils.cpython-38.pyc,,
transformers/pipelines/__pycache__/automatic_speech_recognition.cpython-38.pyc,,
transformers/pipelines/__pycache__/base.cpython-38.pyc,,
transformers/pipelines/__pycache__/conversational.cpython-38.pyc,,
transformers/pipelines/__pycache__/depth_estimation.cpython-38.pyc,,
transformers/pipelines/__pycache__/document_question_answering.cpython-38.pyc,,
transformers/pipelines/__pycache__/feature_extraction.cpython-38.pyc,,
transformers/pipelines/__pycache__/fill_mask.cpython-38.pyc,,
transformers/pipelines/__pycache__/image_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/image_segmentation.cpython-38.pyc,,
transformers/pipelines/__pycache__/image_to_text.cpython-38.pyc,,
transformers/pipelines/__pycache__/mask_generation.cpython-38.pyc,,
transformers/pipelines/__pycache__/object_detection.cpython-38.pyc,,
transformers/pipelines/__pycache__/pt_utils.cpython-38.pyc,,
transformers/pipelines/__pycache__/question_answering.cpython-38.pyc,,
transformers/pipelines/__pycache__/table_question_answering.cpython-38.pyc,,
transformers/pipelines/__pycache__/text2text_generation.cpython-38.pyc,,
transformers/pipelines/__pycache__/text_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/text_generation.cpython-38.pyc,,
transformers/pipelines/__pycache__/token_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/video_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/visual_question_answering.cpython-38.pyc,,
transformers/pipelines/__pycache__/zero_shot_audio_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/zero_shot_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/zero_shot_image_classification.cpython-38.pyc,,
transformers/pipelines/__pycache__/zero_shot_object_detection.cpython-38.pyc,,
transformers/pipelines/audio_classification.py,sha256=6SXvsESbdl-QGWZV1VQLKGX_kennjNi0YDfKw39aMnY,8769
transformers/pipelines/audio_utils.py,sha256=1o0EudgNt4bFerlB-KWkY9GNLi6ECvh4GhQRke33Uuo,8094
transformers/pipelines/automatic_speech_recognition.py,sha256=yw2KbHKb4b5s3Mt0z_q06mAdfy-ty1yZuEwvJW43OgM,35296
transformers/pipelines/base.py,sha256=Ws_KDIBMnTZjWlUi45VSMvqn5JDoLQXODFzRq28cH-0,51438
transformers/pipelines/conversational.py,sha256=5Fr4dlKwpo0wFqtQDc29WRqEK8BmTdvX9UcL9zFNJq0,13594
transformers/pipelines/depth_estimation.py,sha256=AHisAretwfiERZYEgO3G1Nw8aWUlDQu7amJ3K-lTwrQ,4258
transformers/pipelines/document_question_answering.py,sha256=sA_E_Snp0WW98x_yVc9x_6XZUsoFGlxkNi0fllm_jYY,23079
transformers/pipelines/feature_extraction.py,sha256=7M4UC3bNEO-zHeisopCtCOeU0SlTzHv3My9mqmijclI,4822
transformers/pipelines/fill_mask.py,sha256=UtBaO1WGoIAq_jOLJ9MpCNOtQfav0ZKqCpbvWzeUgno,10691
transformers/pipelines/image_classification.py,sha256=2ClTPTXGl_5Ev4xaN1whTMkgsMrhwrG6sfhZpHIoByI,4940
transformers/pipelines/image_segmentation.py,sha256=EXKD2wF3fK-ZO0KjNS7azzPbO0-m2fH_BW0DMZfk4HQ,8731
transformers/pipelines/image_to_text.py,sha256=FYvBA0U-1mO0r2EkrWWknaW_22oK_7JmhWxcVNKuZoE,7138
transformers/pipelines/mask_generation.py,sha256=AoSU8l7rzd4nR_NO5eBUZQd0boC9NLUq1qUIFTI8umY,13291
transformers/pipelines/object_detection.py,sha256=0bFyApczVdkEp0YVRogJmEtK_xYuq6eKfT9LpDCRbgQ,7441
transformers/pipelines/pt_utils.py,sha256=-ZGaHid7ln3Q3UUQxUAYEWup6qESu8UJ3aZMLazddfI,12613
transformers/pipelines/question_answering.py,sha256=SxldNDCXIsTaioldWrYBaSZh62JHb9z3MdPKFpfF7KM,29474
transformers/pipelines/table_question_answering.py,sha256=eVlzZaUat0dXZ61PNqTmh0vxXbSqBqR3sAdIRtwqoxk,19892
transformers/pipelines/text2text_generation.py,sha256=DsH2_fSK3xfEXlLH3hqE4cP1LXKHv6RnLORPYtmpcfA,16875
transformers/pipelines/text_classification.py,sha256=D8GgJqAxA1FX5k4kzUz3mu5E5CEYGemY6Se1cFRhpLQ,10043
transformers/pipelines/text_generation.py,sha256=ycjgSJ4nsTz_ASaOi1tJaN43UfMTJNgEMt5xjx1-pSQ,15205
transformers/pipelines/token_classification.py,sha256=HG_nU5SNm6Dop8nT2SkR5IMNO_RFFR54NB3UmHCXWpg,26659
transformers/pipelines/video_classification.py,sha256=JnEATDTsMRjtv8e5K3RZQGNQZISYHsui-eG3G46_DEQ,5008
transformers/pipelines/visual_question_answering.py,sha256=aixJhRA76FsdvBkqpYhnD20AU3JFAxxQ9qmmL7GoqEg,5968
transformers/pipelines/zero_shot_audio_classification.py,sha256=50C4R8kwKHU4Zovva86J7PNGmDFVDV-ej6fdJJU7Z_4,6501
transformers/pipelines/zero_shot_classification.py,sha256=tNWkEal1O3qm8DcBneQOkax3cFQVA_enp9gtRd0R9gU,11983
transformers/pipelines/zero_shot_image_classification.py,sha256=_gNCLkuPbj-KPQj_-CsNhkmS6jgZhQxKljE0ZTQ_wTQ,6075
transformers/pipelines/zero_shot_object_detection.py,sha256=0OtvWGicqNMRDMGj2aht4nVOH-m3O_VHNbSrvAq_DH4,9029
transformers/processing_utils.py,sha256=cYvWpugk9kJJsTbANLUswlhxOwZXNszNBsd3fyxfyCs,11968
transformers/pytorch_utils.py,sha256=XVIugJJMOO7o2iaXlMmNyVXXNXPHT8A_6E478BiV2gI,11445
transformers/sagemaker/__init__.py,sha256=fKtKAHamz_CLL9jPGCa2E-1n8RmuS-58qGtzZuKc3qg,730
transformers/sagemaker/__pycache__/__init__.cpython-38.pyc,,
transformers/sagemaker/__pycache__/trainer_sm.cpython-38.pyc,,
transformers/sagemaker/__pycache__/training_args_sm.cpython-38.pyc,,
transformers/sagemaker/trainer_sm.py,sha256=7GsKLtjdMfKp98OwHD7RcBsl745OOwHAaBswkfLkfsE,1044
transformers/sagemaker/training_args_sm.py,sha256=4ZnQhITfMwT0y2Y2MvkI11PEB_yfTX5Z7WrPKt0VXD8,5389
transformers/testing_utils.py,sha256=Y7bzrVaxC5GTaxK24TdeQkU98rg54JKvaB8x2w_vbUI,68168
transformers/tf_utils.py,sha256=fQp7_jSCFcTrGj87_ouKWFmb7JiW4AdRg8iL9I1jfnc,9571
transformers/time_series_utils.py,sha256=LjOgIvLmP0v6fJoqGo8lCD1kr3sXx9O_jmI-qJejtPU,7520
transformers/tokenization_utils.py,sha256=osrvOJdjyewxA695K_UnNllxh2EcaGyGEq7haOsCv_g,40165
transformers/tokenization_utils_base.py,sha256=IuaayJYM9CZdREEKkFdGZXWuLu6SM-D_kn7c8UY2mHU,182329
transformers/tokenization_utils_fast.py,sha256=Wkq4e4RGeMvZ8JaLHXovd056gDHbeBnkHikQFvU3Vpc,33446
transformers/tools/__init__.py,sha256=hI6M7zNUTyRE3BiZtL1VM8CcpYqxTrFR7lS0U6T7InM,2955
transformers/tools/__pycache__/__init__.cpython-38.pyc,,
transformers/tools/__pycache__/agent_types.cpython-38.pyc,,
transformers/tools/__pycache__/agents.cpython-38.pyc,,
transformers/tools/__pycache__/base.cpython-38.pyc,,
transformers/tools/__pycache__/document_question_answering.cpython-38.pyc,,
transformers/tools/__pycache__/evaluate_agent.cpython-38.pyc,,
transformers/tools/__pycache__/image_captioning.cpython-38.pyc,,
transformers/tools/__pycache__/image_question_answering.cpython-38.pyc,,
transformers/tools/__pycache__/image_segmentation.cpython-38.pyc,,
transformers/tools/__pycache__/prompts.cpython-38.pyc,,
transformers/tools/__pycache__/python_interpreter.cpython-38.pyc,,
transformers/tools/__pycache__/speech_to_text.cpython-38.pyc,,
transformers/tools/__pycache__/text_classification.cpython-38.pyc,,
transformers/tools/__pycache__/text_question_answering.cpython-38.pyc,,
transformers/tools/__pycache__/text_summarization.cpython-38.pyc,,
transformers/tools/__pycache__/text_to_speech.cpython-38.pyc,,
transformers/tools/__pycache__/translation.cpython-38.pyc,,
transformers/tools/agent_types.py,sha256=6ZVzmPwWiMtJXKUZ33fKzfUFp-v_qfI901MKj2pbQRY,9093
transformers/tools/agents.py,sha256=V7OobTWT-Cxdt22VkgizFw6Eqqu_DZ2Rt9TcRPUxgH4,30304
transformers/tools/base.py,sha256=zxAEOLpqODOKgB04T8lCU2va_DaOSN2cQysmrW2Oep0,29957
transformers/tools/document_question_answering.py,sha256=7qSMr0fQYadiGOoVMXNrImls3_O-hcdDbLrlSc3cvxU,3337
transformers/tools/evaluate_agent.py,sha256=7QqBDWyu4FnudoLot53ZT_qIhYCS5Mb4GiCYwhaLWhU,24739
transformers/tools/image_captioning.py,sha256=x1PfWpDozWSZuue633XwEPPBTr_zEX9mgrYar-8LqXQ,1745
transformers/tools/image_question_answering.py,sha256=UNOzIcmkckh1W1bqlj31h61eXGAZ1TZ831iqytyO4NQ,1969
transformers/tools/image_segmentation.py,sha256=HzfawGPbxNkwZIxL88yhAu433rhg2l3Jwy62QnPOxQs,2102
transformers/tools/prompts.py,sha256=1YXY_A5Zfyd_rudKzB4ShQ9OR_E5bHeh9bcgBVt1ltQ,1558
transformers/tools/python_interpreter.py,sha256=aSn1bnuQT9_xteXNcJdlmi39IzX1FZRqSaoGEQRS-PE,9999
transformers/tools/speech_to_text.py,sha256=m3LCJxMpJykL9aD8rZ4H3ROGtt59LcLozw-6963XjCE,1482
transformers/tools/text_classification.py,sha256=snyBoLTERnfl7YKKAgZctWhow6sEXQdS4bcWYUxJnyU,2475
transformers/tools/text_question_answering.py,sha256=mGO3E0nL71Jzn4jeC2_RgLRDtuqbld77mQ2T7jw4aPc,1967
transformers/tools/text_summarization.py,sha256=-8TY4P4LL4c7bQcD9y8Vi5Rfiaw8nAiY_aP5yXicq_g,1691
transformers/tools/text_to_speech.py,sha256=vuJU2dC2d5J1kVdGjSBJCBdsTiOli2J7OabAposOFfA,2424
transformers/tools/translation.py,sha256=fu05jVYbJUFmNvmwd4mjQOqzGt1JSy6QbpuAd2uChOE,8493
transformers/trainer.py,sha256=JKV55693w2mQIKwWwbStFtZKpYTa_lKpDQgHw4EXTzE,185906
transformers/trainer_callback.py,sha256=32wdoDgJfOg-j7-aMFxBLH-oz4WLnQcInGnATmY7Vfw,24075
transformers/trainer_pt_utils.py,sha256=qNkbpV90pZsqc_ZNttFLlLi4ZdjpBBcagHyzYQvaWis,47809
transformers/trainer_seq2seq.py,sha256=_dV19zgEMOxjIOgCfl9JVPUFXFfWhdvwBXz-LKQ_EY8,15722
transformers/trainer_tf.py,sha256=bu1mX0kGwjdQn9yAuAlJtDLom_JE6UlC6kfa-n5wZa0,34697
transformers/trainer_utils.py,sha256=QqALOu4-B-iQQJon5WHh7gd5SsFAH3CXQw9Mjd6ybiU,24177
transformers/training_args.py,sha256=rAgqx7PT0cbH_BIE0lQcMQ22_cTqxThAA2LkTXTeWbc,127381
transformers/training_args_seq2seq.py,sha256=Lcx_bGiM7GZYKPtUeAmVniaWw34Jo8RaDw7QGb2AoFs,4484
transformers/training_args_tf.py,sha256=xoRosW7CoyKmwGOzgqG751wxlUO7xWetr5IWPxh4NfM,14388
transformers/utils/__init__.py,sha256=-SBQWgriEQhyISICIAOgiM29uN_iApKdFQhhXWSpJSU,6572
transformers/utils/__pycache__/__init__.cpython-38.pyc,,
transformers/utils/__pycache__/backbone_utils.cpython-38.pyc,,
transformers/utils/__pycache__/bitsandbytes.cpython-38.pyc,,
transformers/utils/__pycache__/constants.cpython-38.pyc,,
transformers/utils/__pycache__/doc.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_detectron2_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_flax_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_keras_nlp_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_pt_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_sentencepiece_and_tokenizers_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_sentencepiece_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_speech_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_tensorflow_text_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_tf_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_tokenizers_objects.cpython-38.pyc,,
transformers/utils/__pycache__/dummy_vision_objects.cpython-38.pyc,,
transformers/utils/__pycache__/fx.cpython-38.pyc,,
transformers/utils/__pycache__/generic.cpython-38.pyc,,
transformers/utils/__pycache__/hp_naming.cpython-38.pyc,,
transformers/utils/__pycache__/hub.cpython-38.pyc,,
transformers/utils/__pycache__/import_utils.cpython-38.pyc,,
transformers/utils/__pycache__/logging.cpython-38.pyc,,
transformers/utils/__pycache__/model_parallel_utils.cpython-38.pyc,,
transformers/utils/__pycache__/notebook.cpython-38.pyc,,
transformers/utils/__pycache__/quantization_config.cpython-38.pyc,,
transformers/utils/__pycache__/sentencepiece_model_pb2.cpython-38.pyc,,
transformers/utils/__pycache__/sentencepiece_model_pb2_new.cpython-38.pyc,,
transformers/utils/__pycache__/versions.cpython-38.pyc,,
transformers/utils/backbone_utils.py,sha256=zZj_zBhM1BVfPpz7c5lOh7PahhR9cEXGynXPNfRmmxU,12027
transformers/utils/bitsandbytes.py,sha256=pEdKMB_rZ9v69rYuqYRgXmA_0NCSEhT-6N1FBspBmj4,13391
transformers/utils/constants.py,sha256=sZsUwOnA3CbtN1svs9YoaNLTTsAc9RVaITsgpf8K4iI,282
transformers/utils/doc.py,sha256=nMr2NB7r_X3uEqsnbMe8EzDugRWzWQBTpZP5rej-dXw,40011
transformers/utils/dummy_detectron2_objects.py,sha256=gr1gUAeK_j7ygeFW2X4_aZYy9QmY-MKqH1k7UlQxyIk,391
transformers/utils/dummy_flax_objects.py,sha256=rpE_txFSb7f93YpLCIvZL19-A-JzzP3tWz6lyMFoVv4,30740
transformers/utils/dummy_keras_nlp_objects.py,sha256=AVWt2orICCUXi754bkavvqPzYO91PjER-FlUZAw2jZc,294
transformers/utils/dummy_pt_objects.py,sha256=c2iDyRrCHmMy8VjUzzGZkw3kHdnP9SeGda4N6ixB12o,194883
transformers/utils/dummy_sentencepiece_and_tokenizers_objects.py,sha256=BgPLr8Wz8A-17K86x04N21CKXtWNQLJEWx2c4aZRqaA,286
transformers/utils/dummy_sentencepiece_objects.py,sha256=WAgkUZhtCoZRrmVbQ6CnNBGxN4AdiUkJc4HW5whgjFw,5575
transformers/utils/dummy_speech_objects.py,sha256=9eFm1cjdsYOPBoAz9JTgP35Bg8WF2C9AZ_y1hFpKZdQ,465
transformers/utils/dummy_tensorflow_text_objects.py,sha256=43V0IA2kb9gtuL0S1OL1eRFFxzQwKg4pPjMVuXUB5qg,306
transformers/utils/dummy_tf_objects.py,sha256=0JrZN7aTTqHkthNtcu0Fy2t7dQRe9s_yo51obnc21n8,67038
transformers/utils/dummy_tokenizers_objects.py,sha256=x_QGQSaaN8oO2b-GiRcLSBcfSTabjSxACh5fXNIlVuY,10241
transformers/utils/dummy_vision_objects.py,sha256=PM_7Qfa4d8mK6YKoVs5R34Qg0VQsOe8Qjw5FktC_2vg,12566
transformers/utils/fx.py,sha256=g8tbXFc-YXL-icTXEfJS7-V0A88leuAVV1QWK7Rl7iA,47806
transformers/utils/generic.py,sha256=IDfXyUP2RBdG8ufJ7XPsVg1m0eyXL8NPBK4wevMl08U,18320
transformers/utils/hp_naming.py,sha256=vqcOXcDOyqbISWo8-ClUJUOBVbZM1h08EcymTwcRthc,4979
transformers/utils/hub.py,sha256=I2hQWzi9I1A-Ah3VF_OVMkPM3zlg9EY6mSlS3ynOuEs,49100
transformers/utils/import_utils.py,sha256=IgNVxlwesmijtfDXdmhAFe1kF_HXaEZnDUCEjZSWjLk,40063
transformers/utils/logging.py,sha256=GLCu5TlMraPTsXuo3gHUWIvboxWNqVgGNWpN5TXFFyI,10168
transformers/utils/model_parallel_utils.py,sha256=XbGU9IlFF59K_aplRxUGVnTfIZ9mpbLomKqQ08ooTew,2272
transformers/utils/notebook.py,sha256=MMiKYmcHz-4I9F4Ftp_MPltMxV0BR_B9gGq6X7xvRfU,14831
transformers/utils/quantization_config.py,sha256=TqpDNB-D21LF3nmoarm0sXYjNIxfT8_24fAw1BYi1_0,12238
transformers/utils/sentencepiece_model_pb2.py,sha256=Ag_x8Sco7Xr2ahS1BRvdggfxKI-QHDUk4zLNR93cn6U,50671
transformers/utils/sentencepiece_model_pb2_new.py,sha256=FwTW0nkCiPCErmGk0s27BniKmkORcfnNk-w7NBGkCuA,6621
transformers/utils/versions.py,sha256=-e7XW1TzZ-tsRo9PMQHp-hNGYHuVDFzLtwg3uAJzqdI,4333
