Upload modeling_mplug_owl2.py with huggingface_hub

modeling_mplug_owl2.py

@@ -250,9 +250,12 @@ class MPLUGOwl2LlamaForCausalLM(LlamaForCausalLM, MPLUGOwl2MetaForCausalLM):
     def __init__(self, config):
         super(LlamaForCausalLM, self).__init__(config)
         self.model = MPLUGOwl2LlamaModel(config)
+        
+        self.tokenizer = AutoTokenizer.from_pretrained("q-future/one-align")
+        self.image_processor = CLIPImageProcessor.from_pretrained("q-future/one-align")
 
         self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False)
-        self.preferential_ids_ = [id_[1] for id_ in tokenizer(["excellent","good","fair","poor","bad"])["input_ids"]]
+        self.preferential_ids_ = [id_[1] for id_ in self.tokenizer(["excellent","good","fair","poor","bad"])["input_ids"]]
         self.weight_tensor = torch.Tensor([5.,4.,3.,2.,1.]).half().to(model.device)
 
         # Initialize weights and apply final processing