Update README.md

README.md

@@ -48,22 +48,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-### Use with transformers
-from peft import PeftModel, PeftConfig
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-#Load the base model and tokenizer
-model = AutoModelForCausalLM.from_pretrained('meta-llama/Meta-Llama-3-8B')
-tokenizer = AutoTokenizer.from_Pretrained('meta-llama/Meta-Llama-3-8B')
-model = PeftModel.from_pretrained(model=model, model_id='Sylvia2025/llama3-8B-alpaca_zh ')
-
-query= '你是谁？'
-
-#Generate an answer from the model
-inputs = tokenizer.encode(query, return_tensor='pt')
-ouputs = model.generate(inputs)
-response = tokenizer.decode(ouputs[0], skip_special_tokens=True)
-print(response)