Update README.md

README.md

@@ -22,7 +22,6 @@ Usage:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
 
-
 tokenizer = AutoTokenizer.from_pretrained("hiyouga/baichuan-7b-sft", trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained("hiyouga/baichuan-7b-sft", trust_remote_code=True).cuda()
 streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
@@ -36,6 +35,7 @@ generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)
 ```
 
 You could also alternatively launch a CLI demo by using the script in https://github.com/hiyouga/LLaMA-Efficient-Tuning
+
 ```bash
 python src/cli_demo.py --model_name_or_path hiyouga/baichuan-7b-sft
 ```