directly passed save_jinja_files=False in the save_pretrained parameter

Added save_jinja_files parameter to save_pretrained method.

Author: aijadugar

src/transformers/processing_utils.py

@@ -748,7 +748,7 @@ def __repr__(self):
         attributes_repr = "\n".join(attributes_repr)
         return f"{self.__class__.__name__}:\n{attributes_repr}\n\n{self.to_json_string()}"
 
-    def save_pretrained(self, save_directory, push_to_hub: bool = False, **kwargs):
+    def save_pretrained(self, save_directory, push_to_hub: bool = False, save_jinja_files=False, **kwargs):
         """
         Saves the attributes of this processor (feature extractor, tokenizer...) in the specified directory so that it
         can be reloaded using the [`~ProcessorMixin.from_pretrained`] method.
@@ -786,7 +786,9 @@ def save_pretrained(self, save_directory, push_to_hub: bool = False, **kwargs):
             configs = [(a.init_kwargs if isinstance(a, PreTrainedTokenizerBase) else a) for a in attrs]
             configs.append(self)
             custom_object_save(self, save_directory, config=configs)
-
+        
+        # also fetch it from kwargs
+        # save_jinja_files = kwargs.pop("save_jinja_files", False)
         for attribute_name in self.attributes:
           attribute = getattr(self, attribute_name)