(
self,
data_in,
data_lengths=None,
key: list = None,
tokenizer=None,
frontend=None,
**kwargs,
)
| 581 | ] |
| 582 | |
| 583 | def inference( |
| 584 | self, |
| 585 | data_in, |
| 586 | data_lengths=None, |
| 587 | key: list = None, |
| 588 | tokenizer=None, |
| 589 | frontend=None, |
| 590 | **kwargs, |
| 591 | ): |
| 592 | prompt = self.get_prompt( |
| 593 | kwargs.get("hotwords", []), kwargs.get("language", None), kwargs.get("itn", True) |
| 594 | ) |
| 595 | data_in = [self.generate_chatml(prompt, data) for data in data_in] |
| 596 | |
| 597 | if key is None: |
| 598 | key = [] |
| 599 | for _ in data_in: |
| 600 | chars = string.ascii_letters + string.digits |
| 601 | key.append("rand_key_" + "".join(random.choice(chars) for _ in range(13))) |
| 602 | |
| 603 | return self.inference_llm( |
| 604 | data_in, |
| 605 | data_lengths=data_lengths, |
| 606 | key=key, |
| 607 | tokenizer=tokenizer, |
| 608 | frontend=frontend, |
| 609 | **kwargs, |
| 610 | ) |
| 611 | |
| 612 | def inference_llm( |
| 613 | self, |
no test coverage detected