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mini_gpt4_llama_v2.py

@@ -105,11 +105,11 @@ class MiniGPT4_Video(Blip2Base, PreTrainedModel):
         self.vis_processor = registry.get_processor_class(vis_processor_cfg["name"]).from_config(vis_processor_cfg)
         self.CONV_VISION = CONV_VISION
         if "Mistral" in self.llama_model:
-            from minigpt4_video.modeling_mistral import MistralForCausalLM as llm_model
+            from .modeling_mistral import MistralForCausalLM as llm_model
             print("Mistral model")
             self.model_type = "Mistral"
         else:
-            from minigpt4_video.modeling_llama_v2 import LlamaForCausalLM as llm_model
+            from .modeling_llama_v2 import LlamaForCausalLM as llm_model
             print("Llama model")
             self.model_type = "Llama"
         self.tokenizer = self.init_tokenizer()