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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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while True: |
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query = input('请输入问题:') |
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if len(query.strip()) == 0: |
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break |
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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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