19 lines
621 B
Python
19 lines
621 B
Python
from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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# 加载模型和分词器
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model_path = "path/to/your/model" # ModelScope 会自动设置路径
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(model_path)
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def inference(input_text):
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=50)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# 示例输入
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if __name__ == "__main__":
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input_text = "河北旅游推荐"
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result = inference(input_text)
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print(result)
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