__adapters_version__ -> adapters.__version__

setup.py

@@ -348,7 +348,7 @@ def run(self):
 
 setup(
     name="adapter-transformers",
-    version="2.3.0a0",
+    version="3.0.0a0",
     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, Suraj Patil, Stas Bekman, 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

@@ -22,7 +22,6 @@
 # to defer the actual importing for when the objects are requested. This way `import transformers` provides the names
 # in the namespace without actually importing anything (and especially none of the backends).
 
-__adapters_version__ = "2.3.0a0"
 __version__ = "4.12.5"
 
 # Work around to update TensorFlow's absl.logging threshold which alters the
@@ -3706,7 +3705,7 @@
         globals()["__file__"],
         _import_structure,
         module_spec=__spec__,
-        extra_objects={"__version__": __version__, "__adapters_version__": __adapters_version__},
+        extra_objects={"__version__": __version__},
     )
 
 

src/transformers/adapters/__init__.py

@@ -16,6 +16,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+__version__ = "3.0.0a0"
+
 from typing import TYPE_CHECKING
 
 from ..file_utils import _LazyModule
@@ -203,4 +205,9 @@
 else:
     import sys
 
-    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
+    sys.modules[__name__] = _LazyModule(
+        __name__,
+        globals()["__file__"],
+        _import_structure,
+        extra_objects={"__version__": __version__},
+    )

src/transformers/adapters/utils.py

@@ -19,8 +19,8 @@
 from filelock import FileLock
 from huggingface_hub import HfApi, snapshot_download
 
-from .. import __adapters_version__
 from ..file_utils import get_from_cache, is_remote_url, torch_cache_home
+from . import __version__
 
 
 logger = logging.getLogger(__name__)
@@ -399,7 +399,7 @@ def pull_from_hf_model_hub(specifier: str, version: str = None, **kwargs) -> str
         revision=version,
         cache_dir=kwargs.pop("cache_dir", None),
         library_name="adapter-transformers",
-        library_version=__adapters_version__,
+        library_version=__version__,
     )
     return download_path
 

src/transformers/commands/env.py

@@ -15,7 +15,7 @@
 import platform
 from argparse import ArgumentParser
 
-from .. import __adapters_version__
+from ..adapters import __version__
 from ..file_utils import is_flax_available, is_tf_available, is_torch_available
 from . import BaseTransformersCLICommand
 
@@ -67,7 +67,7 @@ def run(self):
             jax_backend = jax.lib.xla_bridge.get_backend().platform
 
         info = {
-            "`adapter-transformers` version": __adapters_version__,
+            "`adapter-transformers` version": __version__,
             "Platform": platform.platform(),
             "Python version": platform.python_version(),
             "PyTorch version (GPU?)": f"{pt_version} ({pt_cuda_available})",