mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-03 12:50:06 +06:00
6be7cdda66
This prevents transformers from being importable simply because the CWD
is the root of the git repository, while not being importable from other
directories. That led to inconsistent behavior, especially in examples.
Once you fetch this commit, in your dev environment, you must run:
$ pip uninstall transformers
$ pip install -e .
81 lines
2.9 KiB
Python
81 lines
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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package_dir = {'': 'src'},
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packages=find_packages("src"),
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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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