Fix: resize_token_embeddings's Interface for transformers v4.49.0

modeling_florence2.py

@@ -2080,8 +2080,8 @@ class Florence2LanguageForConditionalGeneration(Florence2LanguagePreTrainedModel
     def get_decoder(self):
         return self.model.get_decoder()
 
-    def resize_token_embeddings(self, new_num_tokens: int, pad_to_multiple_of: Optional[int] = None) -> nn.Embedding:
-        new_embeddings = super().resize_token_embeddings(new_num_tokens, pad_to_multiple_of)
+    def resize_token_embeddings(self, new_num_tokens: int, pad_to_multiple_of: Optional[int] = None, **kwargs) -> nn.Embedding:
+        new_embeddings = super().resize_token_embeddings(new_num_tokens, pad_to_multiple_of, **kwargs)
         self._resize_final_logits_bias(new_embeddings.weight.shape[0])
         return new_embeddings
 
@@ -2589,8 +2589,8 @@ class Florence2ForConditionalGeneration(Florence2PreTrainedModel):
     def get_input_embeddings(self):
         return self.language_model.get_input_embeddings()
 
-    def resize_token_embeddings(self, new_num_tokens: Optional[int] = None, pad_to_multiple_of=None) -> nn.Embedding:
-        model_embeds = self.language_model.resize_token_embeddings(new_num_tokens, pad_to_multiple_of)
+    def resize_token_embeddings(self, new_num_tokens: Optional[int] = None, pad_to_multiple_of=None, **kwargs) -> nn.Embedding:
+        model_embeds = self.language_model.resize_token_embeddings(new_num_tokens, pad_to_multiple_of, **kwargs)
         # update vocab size
         self.config.text_config.vocab_size = model_embeds.num_embeddings
         self.config.vocab_size = model_embeds.num_embeddings