score_ranges 0~1?
#14
by duzhihua - opened
- use FlagReranker
from FlagEmbedding import FlagReranker
reranker = FlagReranker('BAAI/bge-reranker-large', use_fp16=True) # Setting use_fp16 to True speeds up computation with a slight performance degradation
score = reranker.compute_score(['query', 'passage'])
print(score)
--- 1.513292670249939
2.but use huggingface -> Model card -> Inference API
input:
I like you. I love you
output:
[
[
{
"label": "LABEL_0",
"score": 0.9471544623374939
}
]
]
huggingface uses a sigmoid function to normlize the scores.
You can refer to this discusstion: https://huggingface.co/BAAI/bge-reranker-base/discussions/17