text: """ Setup
  """
  from setuptools import setup, find_packages
  from codecs import open
  from os import path
  
  here = path.abspath(path.dirname(__file__))
  
  # Get the long description from the README file
  with open(path.join(here, 'README.md'), encoding='utf-8') as f:
      long_description = f.read()
  
  exec(open('timm/version.py').read())
  setup(
      name='timm',
      version=__version__,
      description='(Unofficial) PyTorch Image Models',
      long_description=long_description,
      long_description_content_type='text/markdown',
      url='https://github.com/rwightman/pytorch-image-models',
      author='Ross Wightman',
      author_email='hello@rwightman.com',
      classifiers=[
          # How mature is this project? Common values are
          #   3 - Alpha
          #   4 - Beta
          #   5 - Production/Stable
          'Development Status :: 3 - Alpha',
          'Intended Audience :: Education',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: Apache Software License',
          'Programming Language :: Python :: 3.6',
          'Programming Language :: Python :: 3.7',
          'Topic :: Scientific/Engineering',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
          'Topic :: Software Development',
          'Topic :: Software Development :: Libraries',
          'Topic :: Software Development :: Libraries :: Python Modules',
      ],
  
      # Note that this is a string of words separated by whitespace, not a list.
      keywords='pytorch pretrained models efficientnet mobilenetv3 mnasnet',
      packages=find_packages(exclude=['convert']),
      install_requires=['torch >= 1.0', 'torchvision'],
      python_requires='>=3.6',
  )
  