Release: v4.19.1

setup.py

@@ -392,7 +392,7 @@ install_requires = [
 
 setup(
     name="transformers",
-    version="4.19.0",  # 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="4.19.1",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     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

@@ -22,7 +22,7 @@
 # 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__ = "4.19.0"
+__version__ = "4.19.1"
 
 from typing import TYPE_CHECKING
 

src/transformers/trainer_utils.py

@@ -676,6 +676,8 @@ class RemoveColumnsCollator:
         self.message_logged = False
 
     def _remove_columns(self, feature: dict) -> dict:
+        if not isinstance(feature, dict):
+            return feature
         if not self.message_logged and self.logger and self.model_name:
             ignored_columns = list(set(feature.keys()) - set(self.signature_columns))
             if len(ignored_columns) > 0: