from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# 加载模型和分词器
model_path = "path/to/your/model"  # ModelScope 会自动设置路径
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)

def inference(input_text):
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=50)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# 示例输入
if __name__ == "__main__":
    input_text = "河北旅游推荐"
    result = inference(input_text)
    print(result)