| from sentence_transformers import SentenceTransformer, util | |
| from typing import Dict, List, Any | |
| from torch.nn import Embedding, Linear | |
| from torch.quantization import quantize_dynamic | |
| class EndpointHandler(): | |
| def __init__(self, path=""): | |
| self.model = SentenceTransformer('sentence-transformers/multi-qa-MiniLM-L6-cos-v1') | |
| def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: | |
| """ | |
| data args: | |
| inputs (:obj: `str` | `PIL.Image` | `np.array`) | |
| kwargs | |
| Return: | |
| A :obj:`list` | `dict`: will be serialized and returned | |
| """ | |
| sentences = data.pop("inputs",data) | |
| embeddings = self.model.encode(sentences, batch_size=100, device="cuda") | |
| return embeddings.tolist() |