Update modeling_phi3_v.py for compatibility with transformers 4.49

modeling_phi3_v.py

@@ -1658,7 +1658,7 @@ class Phi3VForCausalLM(Phi3VPreTrainedModel):
             if isinstance(past_key_values, Cache):
                 cache_length = past_key_values.get_seq_length()
                 past_length = past_key_values.seen_tokens
-                max_cache_length = past_key_values.get_max_length()
+                max_cache_length = past_key_values.get_max_length() if hasattr(past_key_values, "get_max_length") else past_key_values.get_max_cache_shape()
             else:
                 cache_length = past_length = past_key_values[0][0].shape[2]
                 max_cache_length = None

processing_phi3_v.py

@@ -310,7 +310,7 @@ class Phi3VProcessor(ProcessorMixin):
     tokenizer_class = ("LlamaTokenizer", "LlamaTokenizerFast")
     special_image_token = "<|image|>"
 
-    def __init__(self, image_processor, tokenizer):
+    def __init__(self, image_processor, tokenizer, **kwargs):
         self.image_processor = image_processor
         self.tokenizer = tokenizer
         self.num_img_tokens = image_processor.num_img_tokens