ajustes

README.md

@@ -61,7 +61,7 @@ from peft import PeftConfig, PeftModel
 model_path = "nlpulse/llama2-7b-chat-english_quotes"
 
 # tokenizer
-tokenizer = AutoTokenizer.from_pretrained(model_path)
+tokenizer = AutoTokenizer.from_pretrained(model_path, use_auth_token=True)
 tokenizer.pad_token = tokenizer.eos_token
 
 # quantization config
@@ -74,8 +74,8 @@ quant_config = BitsAndBytesConfig(
 
 # model adapter PEFT LoRA
 config = PeftConfig.from_pretrained(model_path)
-model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, quantization_config=quant_config, device_map={"":0}, 
-        use_auth_token=True)
+model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path,
+        quantization_config=quant_config, device_map={"":0}, use_auth_token=True)
 model = PeftModel.from_pretrained(model, model_path)
 
 # inference