Release: adapter-transformers v2.0.1

README.md

@@ -34,7 +34,7 @@ A friendly fork of HuggingFace's <i>Transformers</i>, adding Adapters to PyTorch
 _💡 Important: This library can be used as a drop-in replacement for HuggingFace Transformers and regularly synchronizes new upstream changes.
 Thus, most files in this repository are direct copies from the HuggingFace Transformers source, modified only with changes required for the adapter implementations._
 
-## Quick tour
+## Installation
 
 `adapter-transformers` currently supports **Python 3.6+** and **PyTorch 1.3.1+**.
 After [installing PyTorch](https://pytorch.org/get-started/locally/), you can install `adapter-transformers` from PyPI ...

setup.py

@@ -314,7 +314,7 @@ def run(self):
 
 setup(
     name="adapter-transformers",
-    version="2.0.0",
+    version="2.0.1",
     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="[email protected]",
     description="A friendly fork of Huggingface's Transformers, adding Adapters to PyTorch language models",

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__ = "2.0.0"
+__version__ = "2.0.1"
 __hf_version__ = "4.5.1"
 
 # Work around to update TensorFlow's absl.logging threshold which alters the