Update README.md

README.md

@@ -24,8 +24,8 @@ You can access the fine-tuning code below.
 
 ## Example Usage
 You can use the adapter model with PEFT.
-
-`from peft import PeftModel, PeftConfig
+```
+from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit")
@@ -51,8 +51,8 @@ inputs = tokenizer([
 
 
 outputs = model.generate(**inputs, max_new_tokens=256)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))`
-
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
 Output:
 
 `Instruction: