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hooman650
/
ct2fast-bge-reranker

Transformers
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xet
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2

Instructions to use hooman650/ct2fast-bge-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hooman650/ct2fast-bge-reranker with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("hooman650/ct2fast-bge-reranker", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

Update model metadata to set pipeline tag to the new `text-ranking`

#2 opened about 1 year ago by
tomaarsen

In actual testing, compared to using fp16, it is only less than 10% faster

👍 1
3
#1 opened over 2 years ago by
swulling
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