From 1ba08dc221ff101a751c16462c3a256d726e7c85 Mon Sep 17 00:00:00 2001 From: Sylvain Gugger Date: Tue, 29 Sep 2020 14:17:34 -0400 Subject: [PATCH] Release: v3.3.1 --- docs/source/conf.py | 2 +- setup.py | 4 ++-- src/transformers/__init__.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index f9357d38d..873369b89 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -26,7 +26,7 @@ author = u'huggingface' # The short X.Y version version = u'' # The full version, including alpha/beta/rc tags -release = u'3.3.0' +release = u'3.3.1' # -- General configuration --------------------------------------------------- diff --git a/setup.py b/setup.py index 177161915..d62dc94f4 100644 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ To create the package for pypi. 1. Change the version in __init__.py, setup.py as well as docs/source/conf.py. -2. Unpin specific versions from setup.py (like isort). +2. Unpin specific versions from setup.py that use a git install. 2. Commit these changes with the message: "Release: VERSION" @@ -98,7 +98,7 @@ extras["dev"] = extras["testing"] + extras["quality"] + extras["ja"] + ["scikit- setup( name="transformers", - version="3.3.0", + version="3.3.1", author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Patrick von Platen, Sylvain Gugger, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors", author_email="thomas@huggingface.co", description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch", diff --git a/src/transformers/__init__.py b/src/transformers/__init__.py index 6b2878fee..ac1b60fef 100755 --- a/src/transformers/__init__.py +++ b/src/transformers/__init__.py @@ -2,7 +2,7 @@ # 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. -__version__ = "3.3.0" +__version__ = "3.3.1" # Work around to update TensorFlow's absl.logging threshold which alters the # default Python logging output behavior when present.