Update app.py
Browse files
app.py
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@@ -2,10 +2,9 @@ import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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# 使用 MiniCPM-3 模型和分词器
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model_name = "IDEA-CCNL/Wenzhong-GPT2-3.5B" # 此为 MiniCPM-3 公开版模型的名称，可以替换成你的模型名称
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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# 定义生成回复的函数
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def generate_response(input_text):
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM3-4B", trust_remote_code=True)
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# 定义生成回复的函数
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def generate_response(input_text):
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