Release: adapter-transformers v2.0.0

README.md

@@ -27,7 +27,7 @@ A friendly fork of HuggingFace's <i>Transformers</i>, adding Adapters to PyTorch
 
 ![Tests](https://github.com/Adapter-Hub/adapter-transformers/workflows/Tests/badge.svg)
 [![GitHub](https://img.shields.io/github/license/adapter-hub/adapter-transformers.svg?color=blue)](https://github.com/adapter-hub/adapter-transformers/blob/master/LICENSE)
-![PyPI](https://img.shields.io/pypi/v/adapter-transformers)
+[![PyPI](https://img.shields.io/pypi/v/adapter-transformers)](https://pypi.org/project/adapter-transformers/)
 
 `adapter-transformers` is an extension of [HuggingFace's Transformers](https://github.com/huggingface/transformers) library, integrating adapters into state-of-the-art language models by incorporating **[AdapterHub](https://adapterhub.ml)**, a central repository for pre-trained adapter modules.
 

setup.py

@@ -314,8 +314,8 @@ def run(self):
 
 setup(
     name="adapter-transformers",
-    version="2.0.0a1",
-    author="Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, based on work by 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",
+    version="2.0.0",
+    author="Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Hannah Sterz, based on work by 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="pfeiffer@ukp.tu-darmstadt.de",
     description="A friendly fork of Huggingface's Transformers, adding Adapters to PyTorch language models",
     long_description=open("README.md", "r", encoding="utf-8").read(),

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__ = "2.0.0a1"
+__version__ = "2.0.0"
 __hf_version__ = "4.5.1"
 
 # Work around to update TensorFlow's absl.logging threshold which alters the