made _load_pretrained_model_low_mem static + bug fix (#16548)

src/transformers/modeling_utils.py

@@ -2103,8 +2103,8 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
 
         return retrieved_modules
 
-    @classmethod
-    def _load_pretrained_model_low_mem(cls, model, loaded_state_dict_keys, resolved_archive_file):
+    @staticmethod
+    def _load_pretrained_model_low_mem(model, loaded_state_dict_keys, resolved_archive_file):
         """
         This is an experimental function that loads the model using ~1.x model size CPU memory
 
@@ -2159,7 +2159,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
             resolved_archive_file = [resolved_archive_file]
 
         for archive_file in resolved_archive_file:
-            state_dict = torch.load(resolved_archive_file, map_location="cpu")
+            state_dict = torch.load(archive_file, map_location="cpu")
 
             # materialize state_dict entries one by one on CPU
             for k in loaded_state_dict_keys: