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Sleeping
Sleeping
test
Browse files
1112.txt
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import gradio as gr
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from openmind import AutoModelForCausalLM, AutoTokenizer
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from transformers.generation.utils import GenerationConfig
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import torch
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def load_model():
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device = 'npu:0'
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model_path = "Baichuan/Baichuan2_7b_chat_pt"
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16, trust_remote_code=True).to(device)
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model.generation_config = GenerationConfig.from_pretrained(model_path)
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return model, tokenizer
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def chat(content, history):
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messages = []
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messages.append({"role": "user", "content": content})
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response = model.chat(tokenizer, messages)
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return response
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if __name__ == "__main__":
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model, tokenizer = load_model()
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gr.ChatInterface(chat,
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title="Baichuan2_7B 对话",
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description="Baichuan 2 是百川智能推出的新一代开源大语言模型,采�?2.6 万亿 Tokens 的高质量语料训练,欢迎体验baichuan2_chat_7B模型�?,
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examples=['解释一下“温故而知�?, '请制定一份杭州一日游计划']
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).queue().launch(debug=True) 1
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