metadata
license: apache-2.0
language:
- zh
pipeline_tag: question-answering
tags:
- baichuan
- lora
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.
To install the necessary package, run the following command:
pip install transformers==4.33.2
Usage:
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
tokenizer = AutoTokenizer.from_pretrained("CBT-LLM", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("CBT-LLM", trust_remote_code=True).cuda()
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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: "
)
inputs = tokenizer([template.format(query)], return_tensors="pt")
inputs = inputs.to("cuda")
generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)