| from transformers import pipeline | |
| from typing import Dict, List, Any | |
| from tokenizers.decoders import WordPiece | |
| class EndpointDictaBertNERHandler: | |
| def __init__(self): | |
| self.model = pipeline('ner', model='dicta-il/dictabert-ner', aggregation_strategy='simple') | |
| self.model.tokenizer.backend_tokenizer.decoder = WordPiece() | |
| 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 | |
| """ | |
| return self.model(data['inputs']) | |