Upload modeling_mplug_owl2.py with huggingface_hub

modeling_mplug_owl2.py

@@ -272,7 +272,7 @@ class MPLUGOwl2LlamaForCausalLM(LlamaForCausalLM, MPLUGOwl2MetaForCausalLM):
         images = [expand2square(img, tuple(int(x*255) for x in self.image_processor.image_mean)) for img in images]
         image_tensor = self.image_processor.preprocess(images, return_tensors="pt")["pixel_values"].half().to(self.device)
         
-        return self.model.generate(input_ids, images=image_tensor, streamer=self.streamer, **generate_kwargs)
+        return self.generate(input_ids, images=image_tensor, streamer=self.streamer, **generate_kwargs)
     def score(self, images, 
               task_: str = "quality",
               input_: str = "image",