---
license: apache-2.0
datasets:
- Laurie/alpaca_chinese_dataset
language:
- zh
- en
library_name: transformers
pipeline_tag: text2text-generation
---
使用transformers推理：

      from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
      from peft import PeftModel
      
      
      tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/baichuan-7B", trust_remote_code=True)
      model = AutoModelForCausalLM.from_pretrained("baichuan-inc/baichuan-7B", device_map="auto", trust_remote_code=True)
      model = PeftModel.from_pretrained(model, "Laurie/baichuan-7b-lora-alpaca-cn")
      streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
      
      query = "天空为什么是蓝色的？"
      
      inputs = tokenizer(["<human>:{}\n<bot>:".format(query)], return_tensors="pt")
      inputs = inputs.to("cuda")
      generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)