# This file created by conda-build 3.27.0
# meta.yaml template originally from:
# C:\b\abs_05_1nzke5t\clone\recipe, last modified Wed Dec  6 15:12:46 2023
# ------------------------------------------------

package:
  name: transformers
  version: 4.31.0
source:
  sha256: 4302fba920a1c24d3a429a29efff6a63eac03f3f3cf55b55927fc795d01cb273
  url: https://pypi.io/packages/source/t/transformers/transformers-4.31.0.tar.gz
build:
  entry_points:
    - transformers-cli=transformers.commands.transformers_cli:main
  number: '0'
  script: C:\\b\\abs_05_1nzke5t\\croot\\transformers_1701875587829\\_h_env\\python.exe
    -m pip install . --no-deps --no-build-isolation -vv
  string: py38haa95532_0
requirements:
  host:
    - ca-certificates 2023.08.22 haa95532_0
    - libffi 3.4.4 hd77b12b_0
    - openssl 3.0.12 h2bbff1b_0
    - pip 23.3.1 py38haa95532_0
    - python 3.8.18 h1aa4202_0
    - setuptools 68.0.0 py38haa95532_0
    - sqlite 3.41.2 h2bbff1b_0
    - vc 14.2 h21ff451_1
    - vs2015_runtime 14.27.29016 h5e58377_2
    - wheel 0.41.2 py38haa95532_0
  run:
    - datasets !=2.5.0
    - filelock
    - huggingface_hub >=0.14.1,<1.0
    - importlib-metadata
    - numpy >=1.17
    - packaging >=20.0
    - python >=3.8,<3.9.0a0
    - pyyaml >=5.1
    - regex !=2019.12.17
    - requests
    - safetensors >=0.3.1
    - tokenizers >=0.11.1,!=0.11.3,<0.14
    - tqdm >=4.27
test:
  commands:
    - pip check
    - transformers-cli --help
  imports:
    - transformers
    - transformers.benchmark
    - transformers.commands
    - transformers.data
    - transformers.kernels
    - transformers.models
    - transformers.pipelines
    - transformers.tools
    - transformers.utils
  requires:
    - pip
    - pytorch
about:
  description: "Transformers provides thousands of pretrained models to perform tasks\
    \ on different modalities such as text, vision, and audio.\n\nThese models can\
    \ be applied on:\n\n- \U0001F4DD Text, for tasks like text classification, information\
    \ extraction, question answering, summarization, translation, text generation,\
    \ in over 100 languages.\n- \U0001F5BC\uFE0F Images, for tasks like image classification,\
    \ object detection, and segmentation.\n- \U0001F5E3\uFE0F Audio, for tasks like\
    \ speech recognition and audio classification.\n\nTransformer models can also\
    \ perform tasks on several modalities combined, such as table question answering,\
    \ optical character recognition, information extraction from scanned documents,\
    \ video classification, and visual question answering.\n"
  dev_url: https://github.com/huggingface/transformers
  doc_url: https://huggingface.co/docs/transformers/index
  home: https://github.com/huggingface/transformers
  license: Apache-2.0
  license_family: Apache
  license_file: LICENSE
  summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 057a36fb-3513-4d3d-b3cd-3849c2025bfa
  recipe-maintainers:
    - hadim
    - mxr-conda
    - ndmaxar
    - oblute
    - rluria14
    - roccqqck
    - setu4993
    - wietsedv
  remote_url: git@github.com:AnacondaRecipes/transformers-feedstock.git
  sha: a9568ba471ea520a98ddac4d88d1e502541821a7
  skip-lints:
    - python_build_tool_in_run
