Update vcoder_llava/model/builder.py

vcoder_llava/model/builder.py

@@ -79,9 +79,9 @@ def load_pretrained_model(model_path, model_base, model_name, load_8bit=False, l
             # this may be mm projector only
             print('Loading LLaVA from base model...')
             if 'vcoder_ds_llava' in model_name.lower():
-                tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False, use_auth_token=True)
-                cfg_pretrained = AutoConfig.from_pretrained(model_path, use_auth_token=True)
-                model = VCoderDSLlavaLlamaForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, use_auth_token=True, config=cfg_pretrained, **kwargs)
+                tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False)
+                cfg_pretrained = AutoConfig.from_pretrained(model_path)
+                model = VCoderDSLlavaLlamaForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=cfg_pretrained, **kwargs)
             elif 'vcoder_llava' in model_name.lower():
                 tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False)
                 cfg_pretrained = AutoConfig.from_pretrained(model_path)