Update README.md

README.md

@@ -4,17 +4,20 @@ language:
 - zh
 ---
 A instruction-tuned LoRA model of https://huggingface.co/baichuan-inc/baichuan-7B
+
 Training framework: https://github.com/hiyouga/LLaMA-Factory
+
 Please follow the baichuan-7B License to use this model.
 
 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)
 
-query = "晚上睡不着怎么办"
+query = "为什么生怕一点点事情做不好被人批评？做事情，别人告诉了我方法，但身体不会按方法来，非要折腾几遍，才发现别人告诉的方法和口诀，是最高效的；而且最近一个月，睡眠不好，整个白天都是无精打采的，每天活的很丧，知道自己的问题出在哪里，不晓得怎么去做出改变"
 template = (
     "你是一名经验丰富的心理咨询师，专长于认知行为疗法, 以心理咨询师的身份回答以下问题。\n"
     "Human: {}\nAssistant: "
@@ -23,3 +26,4 @@ template = (
 inputs = tokenizer([template.format(query)], return_tensors="pt")
 inputs = inputs.to("cuda")
 generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)
+```