Create README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- Laurie/alpaca_chinese_dataset
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language:
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- zh
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- en
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metrics:
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- accuracy
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library_name: transformers
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pipeline_tag: text2text-generation
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---
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## Usage:
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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import torch
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tokenizer = AutoTokenizer.from_pretrained("baichuan7b-lora-merged", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("baichuan7b-lora-merged", device_map="auto", trust_remote_code=True,torch_dtype=torch.float16)
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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query = "爆炒钢筋水泥怎么做才好吃?"
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inputs = tokenizer(["<human>:{}\n<bot>:".format(query)], return_tensors="pt")
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inputs = inputs.to("cuda")
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generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)
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