Update README.md

README.md

@@ -52,13 +52,11 @@ We tested our BlueLM-7B-Chat-32K  on the LongBench dataset and the results are s
 >>> tokenizer = AutoTokenizer.from_pretrained("vivo-ai/BlueLM-7B-Chat-32K", trust_remote_code=True, use_fast=False)
 >>> model = AutoModelForCausalLM.from_pretrained("vivo-ai/BlueLM-7B-Chat-32K", device_map="cuda:0", torch_dtype=torch.bfloat16, trust_remote_code=True)
 >>> model = model.eval()
->>> inputs = tokenizer("儒林外史->吴敬梓\n隋唐演义->褚人获\n红楼梦->", return_tensors="pt")
+>>> inputs = tokenizer("[|Human|]:三国演义的作者是谁？[|AI|]:", return_tensors="pt")
 >>> inputs = inputs.to("cuda:0")
 >>> pred = model.generate(**inputs, max_new_tokens=64, repetition_penalty=1.1)
 >>> print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
-儒林外史->吴敬梓
-隋唐演义->褚人获
-红楼梦->曹雪芹
+三国演义的作者是谁？ 《三国演义》的作者是明代小说家罗贯中。
 ```
 
 更多使用说明，请参考我们的 [Github 仓库](https://github.com/vivo-ai-lab/BlueLM)。