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"""
Simple check list from AllenNLP repo : https : / / github . com / allenai / allennlp / blob / master / setup . py
To create the package for pypi .
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1. Change the version in __init__ . py , setup . py as well as docs / source / conf . py .
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2. Commit these changes with the message : " Release: VERSION "
3. Add a tag in git to mark the release : " git tag VERSION -m ' Adds tag VERSION for pypi ' "
Push the tag to git : git push - - tags origin master
4. Build both the sources and the wheel . Do not change anything in setup . py between
creating the wheel and the source distribution ( obviously ) .
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For the wheel , run : " python setup.py bdist_wheel " in the top level directory .
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( this will build a wheel for the python version you use to build it - make sure you use python 3. x ) .
For the sources , run : " python setup.py sdist "
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You should now have a / dist directory with both . whl and . tar . gz source versions .
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5. Check that everything looks correct by uploading the package to the pypi test server :
twine upload dist / * - r pypitest
( pypi suggest using twine as other methods upload files via plaintext . )
Check that you can install it in a virtualenv by running :
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pip install - i https : / / testpypi . python . org / pypi transformers
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6. Upload the final version to actual pypi :
twine upload dist / * - r pypi
7. Copy the release notes from RELEASE . md to the tag in github once everything is looking hunky - dory .
"""
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from io import open
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from setuptools import find_packages , setup
setup (
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name = " transformers " ,
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version = " 2.2.0 " ,
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author = " Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors " ,
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author_email = " thomas@huggingface.co " ,
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description = " State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch " ,
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long_description = open ( " README.md " , " r " , encoding = ' utf-8 ' ) . read ( ) ,
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long_description_content_type = " text/markdown " ,
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keywords = ' NLP deep learning transformer pytorch tensorflow BERT GPT GPT-2 google openai CMU ' ,
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license = ' Apache ' ,
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url = " https://github.com/huggingface/transformers " ,
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packages = find_packages ( exclude = [ " *.tests " , " *.tests.* " ,
" tests.* " , " tests " ] ) ,
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install_requires = [ ' numpy ' ,
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' boto3 ' ,
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' requests ' ,
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' tqdm ' ,
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' regex ' ,
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' sentencepiece ' ,
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' sacremoses ' ] ,
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entry_points = {
' console_scripts ' : [
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" transformers=transformers.__main__:main " ,
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]
} ,
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# python_requires='>=3.5.0',
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tests_require = [ ' pytest ' ] ,
classifiers = [
' Intended Audience :: Science/Research ' ,
' License :: OSI Approved :: Apache Software License ' ,
' Programming Language :: Python :: 3 ' ,
' Topic :: Scientific/Engineering :: Artificial Intelligence ' ,
] ,
)