Upload modeling_mplug_owl2_huggingface.py with huggingface_hub

modeling_mplug_owl2_huggingface.py

@@ -381,9 +381,11 @@ class MPLUGOwl2LlamaForCausalLM(LlamaForCausalLM, MPLUGOwl2MetaForCausalLM):
     def _init_processors(self):
         """Lazily initialize tokenizer and image processor from the model's directory."""
         if self._tokenizer is None:
-            # Get the actual model path from where this file is located
-            model_path = os.path.dirname(os.path.abspath(__file__))
-            self._tokenizer = AutoTokenizer.from_pretrained(model_path)
+            # Use the model's name_or_path from config, fallback to HF repo name
+            model_path = getattr(self.config, '_name_or_path', None)
+            if model_path is None or model_path == './' or not model_path.startswith(('/', 'http', 'mapo80')):
+                model_path = "mapo80/DeQA-Doc-Overall"
+            self._tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
             self._image_processor = CLIPImageProcessor.from_pretrained(model_path)
             self._preferential_ids = [id_[1] for id_ in self._tokenizer(
                 ["excellent", "good", "fair", "poor", "bad"]