79 строки
2.9 KiB
Python
79 строки
2.9 KiB
Python
"""
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Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
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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"
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3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
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Push the tag to git: git push --tags origin master
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4. Build both the sources and the wheel. Do not change anything in setup.py between
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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).
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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:
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twine upload dist/* -r pypitest
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(pypi suggest using twine as other methods upload files via plaintext.)
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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:
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twine upload dist/* -r pypi
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7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
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"""
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from io import open
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from setuptools import find_packages, setup
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extras = {
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"serving": ["pydantic", "uvicorn", "fastapi"],
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"serving-tf": ["pydantic", "uvicorn", "fastapi", "tensorflow"],
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"serving-torch": ["pydantic", "uvicorn", "fastapi", "torch"],
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}
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extras["all"] = [package for package in extras.values()]
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setup(
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name="transformers",
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version="2.3.0",
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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=[
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"numpy",
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"boto3",
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"filelock",
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"requests",
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"tqdm",
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"regex != 2019.12.17",
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"sentencepiece",
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"sacremoses",
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],
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extras_require=extras,
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scripts=["transformers-cli"],
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# python_requires='>=3.5.0',
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classifiers=[
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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)
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