Upload app.py

app.py

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+# app.py
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# 加载模型和分词器
+model_name = "deepseek-ai/deepseek-math-7b-instruct"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
+
+# 输入数学题
+input_text = "解方程 2x + 5 = 15。"
+
+# 生成解答
+inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_length=100)
+generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# 输出结果
+print("问题：", input_text)
+print("解答：", generated_text)