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Usage:

from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
import torch

tokenizer = AutoTokenizer.from_pretrained("baichuan7b-lora-merged", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("baichuan7b-lora-merged", device_map="auto", trust_remote_code=True,torch_dtype=torch.float16)
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
while True:
    query = input('请输入问题:')
    if len(query.strip()) == 0:
        break
    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)
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Dataset used to train Laurie/baichuan7b-lora-merged