Release v3.1.0

README.md

@@ -36,7 +36,7 @@ Thus, most files in this repository are direct copies from the HuggingFace Trans
 
 ## Installation
 
-`adapter-transformers` currently supports **Python 3.6+** and **PyTorch 1.3.1+**.
+`adapter-transformers` currently supports **Python 3.7+** and **PyTorch 1.3.1+**.
 After [installing PyTorch](https://pytorch.org/get-started/locally/), you can install `adapter-transformers` from PyPI ...
 
 ```

adapter_docs/conf.py

@@ -26,7 +26,7 @@
 docs_versions = [
  "adapters1.1.1",
  "adapters2.3.0",
- "adapters3.0.1",
+ "adapters3.1.0",
 ]
 
 

adapter_docs/installation.md

@@ -1,7 +1,7 @@
 # Installation
 
 Our *adapter-transformers* package is a drop-in replacement for Huggingface's *transformers* library.
-It currently supports Python 3.6+ and PyTorch 1.3.1+. You will have to [install PyTorch](https://pytorch.org/get-started/locally/) first. 
+It currently supports Python 3.7+ and PyTorch 1.3.1+. You will have to [install PyTorch](https://pytorch.org/get-started/locally/) first. 
 
 ```{eval-rst}
 .. important::

setup.py

@@ -116,7 +116,7 @@
  "fugashi>=1.0",
  "GitPython<3.1.19",
  "hf-doc-builder>=0.3.0",
- "huggingface-hub>=0.1.0,<0.8.0",
+ "huggingface-hub>=0.1.0,<1.0",
  "importlib_metadata",
  "ipadic>=1.0.0,<2.0",
  "isort>=5.5.4",
@@ -417,7 +417,7 @@ def run(self):
 
 setup(
  name="adapter-transformers",
- version="3.1.0a1",
+ version="3.1.0",
  author="Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Hannah Sterz, based on work by the HuggingFace team and community",
  author_email="[email protected]",
  description="A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models",

src/transformers/adapters/__init__.py

@@ -16,7 +16,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "3.1.0a1"
+__version__ = "3.1.0"
 
 from typing import TYPE_CHECKING