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s-m-quadri
/
ltr-bert-sir

Text Ranking
Transformers
English
information-retrieval
reranker
bert
ms-marco
hybrid-retrieval
document-ranking
ltr-bert
semantic-search
elsie
ltr-bert-sir
bi-encoder
passage-ranking
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use s-m-quadri/ltr-bert-sir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use s-m-quadri/ltr-bert-sir with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("s-m-quadri/ltr-bert-sir", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ltr-bert-sir / inference
23.4 kB
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  • 1 contributor
History: 3 commits
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  • __pycache__
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  • __init__.py
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  • load.py
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  • model.py
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  • ready.py
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  • score.py
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