(self)
| 19 | self.ready = False |
| 20 | |
| 21 | def load(self): |
| 22 | self.tokenizer = AutoTokenizer.from_pretrained(f"{self.org_name}/{self.repo_name}", trust_remote_code=True) |
| 23 | self.model = SentenceTransformer(f"{self.org_name}/{self.repo_name}", trust_remote_code=True) |
| 24 | self.model.max_seq_length = self.max_sequence_length |
| 25 | self.ready = True |
| 26 | |
| 27 | def predict(self, payload: Dict, headers: Dict) -> Dict: |
| 28 | inputs = payload["instances"] |