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Release: v2.5.0

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Welcome Rust Tokenizers
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Lysandre
2020-02-19 11:46:19 -05:00
parent 3f3fa7f7da
commit fb560dcb07
3 changed files with 4 additions and 4 deletions
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2
docs/source/conf.py
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@@ -26,7 +26,7 @@ author = u'huggingface'
# The short X.Y version # The short X.Y version
version = u'' version = u''
# The full version, including alpha/beta/rc tags # The full version, including alpha/beta/rc tags
release = u'2.4.1' release = u'2.5.0'
# -- General configuration --------------------------------------------------- # -- General configuration ---------------------------------------------------

4
setup.py
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@@ -76,8 +76,8 @@ extras["dev"] = extras["testing"] + extras["quality"] + ["mecab-python3", "sciki
setup( setup(
name="transformers", name="transformers",
version="2.4.1", version="2.5.0",
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", author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors",
author_email="thomas@huggingface.co", author_email="thomas@huggingface.co",
description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch", description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch",
long_description=open("README.md", "r", encoding="utf-8").read(), long_description=open("README.md", "r", encoding="utf-8").read(),

2
src/transformers/__init__.py
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@@ -2,7 +2,7 @@
# There's no way to ignore "F401 '...' imported but unused" warnings in this # There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all. # module, but to preserve other warnings. So, don't check this module at all.
__version__ = "2.4.1" __version__ = "2.5.0"
# Work around to update TensorFlow's absl.logging threshold which alters the # Work around to update TensorFlow's absl.logging threshold which alters the
# default Python logging output behavior when present. # default Python logging output behavior when present.