| from typing import Dict, List, Any | |
| from transformers import pipeline | |
| class EndpointHandler(): | |
| def __init__(self, path="zemuwen/14B_lora_ze"): | |
| # 初始化方法，加载文本分类模型 | |
| self.pipeline = pipeline("question-answering", model=path) | |
| def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: | |
| # 处理输入数据并返回预测结果 | |
| inputs = data.get("inputs", "") | |
| # 使用分类模型生成响应 | |
| results = self.pipeline(inputs) | |
| # 返回模型的响应 | |
| return results | |