Release: v3.0.0

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'2.11.0'
+release = u'3.0.0'
 
 
 # -- General configuration ---------------------------------------------------

setup.py

@@ -36,7 +36,7 @@ To create the package for pypi.
 
 7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
 
-8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed
+8. Add the release version to docs/source/_static/js/custom.js and .circleci/deploy.sh
 
 9. Update README.md to redirect to correct documentation.
 """
@@ -71,13 +71,13 @@ extras["sklearn"] = ["scikit-learn"]
 # keras2onnx and onnxconverter-common version is specific through a commit until 1.7.0 lands on pypi
 extras["tf"] = [
     "tensorflow",
-    "onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
-    "keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
+    "onnxconverter-common",
+    "keras2onnx"
 ]
 extras["tf-cpu"] = [
     "tensorflow-cpu",
-    "onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
-    "keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
+    "onnxconverter-common",
+    "keras2onnx"
 ]
 extras["torch"] = ["torch"]
 
@@ -89,14 +89,14 @@ extras["testing"] = ["pytest", "pytest-xdist", "timeout-decorator", "psutil"]
 extras["docs"] = ["recommonmark", "sphinx", "sphinx-markdown-tables", "sphinx-rtd-theme==0.4.3", "sphinx-copybutton"]
 extras["quality"] = [
     "black",
-    "isort @ git+git://github.com/timothycrosley/isort.git@e63ae06ec7d70b06df9e528357650281a3d3ec22#egg=isort",
+    "isort",
     "flake8",
 ]
 extras["dev"] = extras["testing"] + extras["quality"] + ["mecab-python3<1", "scikit-learn", "tensorflow", "torch"]
 
 setup(
     name="transformers",
-    version="2.11.0",
+    version="3.0.0",
     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",
     author_email="thomas@huggingface.co",
     description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch",
@@ -109,7 +109,7 @@ setup(
     packages=find_packages("src"),
     install_requires=[
         "numpy",
-        "tokenizers == 0.8.0-rc3",
+        "tokenizers == 0.8.0-rc4",
         # dataclasses for Python versions that don't have it
         "dataclasses;python_version<'3.7'",
         # utilities from PyPA to e.g. compare versions

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__ = "2.11.0"
+__version__ = "3.0.0"
 
 # Work around to update TensorFlow's absl.logging threshold which alters the
 # default Python logging output behavior when present.