Repository: huggingface/transformers
Pull request: Fix key mapping for VLMs

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Fixes #39004
Fixes key mapping for VLMs when they are extended by a custom subclass.


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@zucchini-nlp


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Changed files:
filename: src/transformers/modeling_utils.py
patch: @@ -3746,7 +3746,11 @@ def save_pretrained(
                         module_map[name + f".{key}"] = module
             state_dict = model_to_save.state_dict()
 
-        if any(allowed_name in self.__class__.__name__.lower() for allowed_name in VLMS):
+        if any(
+            allowed_name in class_name.__name__.lower()
+            for class_name in self.__class__.__mro__[:-1]
+            for allowed_name in VLMS
+        ):
             reverse_key_mapping = {v: k for k, v in self._checkpoint_conversion_mapping.items()}
 
             original_state_dict = {}
@@ -4402,7 +4406,9 @@ def from_pretrained(
 
         key_mapping = kwargs.pop("key_mapping", None)
         # Load models with hardcoded key mapping on class for VLMs only, to keep BC and standardize model
-        if key_mapping is None and any(allowed_name in cls.__name__.lower() for allowed_name in VLMS):
+        if key_mapping is None and any(
+            allowed_name in class_name.__name__.lower() for class_name in cls.__mro__[:-1] for allowed_name in VLMS
+        ):
             key_mapping = cls._checkpoint_conversion_mapping
 
         # Not used anymore -- remove them from the kwargs