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Release: v3.0.0
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docs/source/conf.py

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# The short X.Y version
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version = u''
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# The full version, including alpha/beta/rc tags
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release = u'2.11.0'
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release = u'3.0.0'
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# -- General configuration ---------------------------------------------------

setup.py

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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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8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed
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8. Add the release version to docs/source/_static/js/custom.js and .circleci/deploy.sh
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9. Update README.md to redirect to correct documentation.
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"""
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# keras2onnx and onnxconverter-common version is specific through a commit until 1.7.0 lands on pypi
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extras["tf"] = [
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"tensorflow",
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"onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
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"keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
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"onnxconverter-common",
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"keras2onnx"
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]
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extras["tf-cpu"] = [
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"tensorflow-cpu",
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"onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
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"keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
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"onnxconverter-common",
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"keras2onnx"
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]
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extras["torch"] = ["torch"]
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extras["docs"] = ["recommonmark", "sphinx", "sphinx-markdown-tables", "sphinx-rtd-theme==0.4.3", "sphinx-copybutton"]
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extras["quality"] = [
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"black",
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"isort @ git+git://github.com/timothycrosley/isort.git@e63ae06ec7d70b06df9e528357650281a3d3ec22#egg=isort",
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"isort",
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"flake8",
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]
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extras["dev"] = extras["testing"] + extras["quality"] + ["mecab-python3<1", "scikit-learn", "tensorflow", "torch"]
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setup(
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name="transformers",
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version="2.11.0",
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version="3.0.0",
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author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Patrick von Platen, 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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packages=find_packages("src"),
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install_requires=[
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"numpy",
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"tokenizers == 0.8.0-rc3",
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"tokenizers == 0.8.0-rc4",
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# dataclasses for Python versions that don't have it
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"dataclasses;python_version<'3.7'",
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# utilities from PyPA to e.g. compare versions

src/transformers/__init__.py

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# There's no way to ignore "F401 '...' imported but unused" warnings in this
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# module, but to preserve other warnings. So, don't check this module at all.
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__version__ = "2.11.0"
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__version__ = "3.0.0"
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# Work around to update TensorFlow's absl.logging threshold which alters the
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# default Python logging output behavior when present.

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