Release: v4.41.2

setup.py

@@ -426,7 +426,7 @@ install_requires = [
 
 setup(
     name="transformers",
-    version="4.41.1",  # 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="4.41.2",  # 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__ = "4.41.1"
+__version__ = "4.41.2"
 
 from typing import TYPE_CHECKING
 

src/transformers/modeling_utils.py

@@ -3390,7 +3390,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
                         if resolved_archive_file is not None:
                             is_sharded = True
 
-                    if resolved_archive_file is not None:
+                    if not local_files_only and resolved_archive_file is not None:
                         if filename in [WEIGHTS_NAME, WEIGHTS_INDEX_NAME]:
                             # If the PyTorch file was found, check if there is a safetensors file on the repository
                             # If there is no safetensors file on the repositories, start an auto conversion