You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Readme
Files and versions
18 lines
670 B
18 lines
670 B
2 years ago
|
import numpy as np
|
||
|
|
from typing import List
|
||
|
|
|
||
|
|
from sentence_transformers import CrossEncoder
|
||
|
|
from towhee.operator import NNOperator
|
||
|
|
|
||
|
|
class ReRank(NNOperator):
|
||
|
|
def __init__(self, model_name: str = 'cross-encoder/ms-marco-MiniLM-L-12-v2'):
|
||
|
|
super().__init__()
|
||
|
|
self._model_name = model_name
|
||
|
|
self._model = CrossEncoder(self._model_name, max_length=1000)
|
||
|
|
|
||
|
|
def __call__(self, query: str, docs: List):
|
||
|
|
scores = self._model.predict([(query, doc) for doc in docs])
|
||
|
|
re_ids = sorted(range(len(scores)), key=lambda k: scores[k], reverse=True)
|
||
|
|
print(re_ids, docs)
|
||
|
|
re_docs = [docs[i] for i in re_ids]
|
||
|
|
return re_docs
|