Patch: v4.30.2

Add fix

setup.py

@@ -428,7 +428,7 @@ install_requires = [
 
 setup(
     name="transformers",
-    version="4.30.1",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
+    version="4.30.2",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     author="The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)",
     author_email="transformers@huggingface.co",
     description="State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow",

src/transformers/__init__.py

@@ -18,7 +18,7 @@
 # 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).
 
-__version__ = "4.30.1"
+__version__ = "4.30.2"
 
 from typing import TYPE_CHECKING
 

src/transformers/utils/hub.py

@@ -712,7 +712,6 @@ class PushToHubMixin:
         operations = []
         # upload standalone files
         for file in modified_files:
-            operations.append(CommitOperationAdd(path_or_fileobj=os.path.join(working_dir, file), path_in_repo=file))
             if os.path.isdir(os.path.join(working_dir, file)):
                 # go over individual files of folder
                 for f in os.listdir(os.path.join(working_dir, file)):

src/transformers/utils/import_utils.py

@@ -146,7 +146,9 @@ if FORCE_TF_AVAILABLE in ENV_VARS_TRUE_VALUES:
     _tf_available = True
 else:
     if USE_TF in ENV_VARS_TRUE_AND_AUTO_VALUES and USE_TORCH not in ENV_VARS_TRUE_VALUES:
-        _tf_available = _is_package_available("tensorflow")
+        # Note: _is_package_available("tensorflow") fails for tensorflow-cpu. Please test any changes to the line below
+        # with tensorflow-cpu to make sure it still works!
+        _tf_available = importlib.util.find_spec("tensorflow") is not None
         if _tf_available:
             candidates = (
                 "tensorflow",