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