Update app.py
Browse files
app.py
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@@ -1,23 +1,19 @@
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_path = "tosei0000/code" # 修改为你上传的文件夹名
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# 加载模型和分词器
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)
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# 如果你有 GPU(Kaggle 支持 GPU),把模型放到 GPU
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model.to(device)
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# 推理函数
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def chat(prompt, max_new_tokens=100):
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inputs = tokenizer(prompt, return_tensors="pt").to(device)
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outputs = model.generate(**inputs, max_new_tokens=max_new_tokens)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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response = chat("你好,请介绍一下你自己。")
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print(response)
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_path = "tosei0000/code"
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# 加载模型和分词器
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model.to(device)
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def chat(prompt, max_new_tokens=100):
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inputs = tokenizer(prompt, return_tensors="pt").to(device)
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outputs = model.generate(**inputs, max_new_tokens=max_new_tokens)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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response = chat("こんにちは!")
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print(response)
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