README.md

metadata

license: mit
base_model: BAAI/bge-reranker-v2-m3
tags:
  - generated_from_trainer
library_name: sentence-transformers
pipeline_tag: text-ranking
model-index:
  - name: bge_reranker
    results: []

Reranker model

• Reranker model
  • Brief information
  • Supporting architectures
  • Local inference example

Brief information

This repository contains reranker model bge-reranker-v2-m3 which you can run on HuggingFace Inference Endpoints.

• Base model: BAAI/bge-reranker-v2-m3 with no any fine tune.
• Commit: 953dc6f6f85a1b2dbfca4c34a2796e7dde08d41e

More details please refer to the repo of bse model.

Supporting architectures

• Apple Silicon MPS
• Nvidia GPU
• HuggingFace Inference Endpoints (AWS)
  • CPU (Intel Sapphire Rapids, 4 vCPU, 8 Gb)
  • GPU (Nvidia T4)
  • Infernia 2 (2 cores, 32 Gb RAM)

Local inference example

from FlagEmbedding import FlagReranker
reranker = FlagReranker('netandreus/bge-reranker-v2-m3', use_fp16=True)
scores = reranker.compute_score(arr, normalize=True)
if not isinstance(scores, list):
    scores = [scores]
print(scores)  # [-8.1875, 5.26171875]