text: """
  Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
  
  To create the package for pypi.
  
  1. Change the version in __init__.py and setup.py.
  
  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).
  
     For the wheel, run: "python setup.py bdist_wheel" in the top level allennlp directory.
     (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"
     You should now have a /dist directory with both .whl and .tar.gz source versions of allennlp.
  
  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:
     pip install -i https://testpypi.python.org/pypi allennlp
  
  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.
  
  """
  from io import open
  from setuptools import find_packages, setup
  
  setup(
      name="pytorch_pretrained_bert",
      version="0.5.0",
      author="Thomas Wolf, Victor Sanh, Tim Rault, Google AI Language Team Authors, Open AI team Authors",
      author_email="thomas@huggingface.co",
      description="PyTorch version of Google AI BERT model with script to load Google pre-trained models",
      long_description=open("README.md", "r", encoding='utf-8').read(),
      long_description_content_type="text/markdown",
      keywords='BERT NLP deep learning google',
      license='Apache',
      url="https://github.com/huggingface/pytorch-pretrained-BERT",
      packages=find_packages(exclude=["*.tests", "*.tests.*",
                                      "tests.*", "tests"]),
      install_requires=['torch>=0.4.1',
                        'numpy',
                        'boto3',
                        'requests',
                        'tqdm'],
      entry_points={
        'console_scripts': [
          "pytorch_pretrained_bert=pytorch_pretrained_bert.__main__:main",
        ]
      },
      # python_requires='>=3.5.0',
      tests_require=['pytest'],
      classifiers=[
            'Intended Audience :: Science/Research',
            'License :: OSI Approved :: Apache Software License',
            'Programming Language :: Python :: 3',
            'Topic :: Scientific/Engineering :: Artificial Intelligence',
      ],
  )
  