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AronowLab
/
BOND-reranker

sentence-transformers
Safetensors
English
bert
biomedical
reranker
cross-encoder
entity-normalization
ontology
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use AronowLab/BOND-reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("AronowLab/BOND-reranker")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
BOND-reranker
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
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rgrupesh
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  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    3.98 kB
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  • config.json
    798 Bytes
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  • model.safetensors
    166 MB
    xet
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  • optimizer.pt
    332 MB
    xet
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  • rng_state.pth
    14.2 kB
    xet
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  • scaler.pt
    988 Bytes
    xet
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  • scheduler.pt
    1.06 kB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    764 kB
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  • tokenizer_config.json
    1.27 kB
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  • trainer_state.json
    246 kB
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  • training_args.bin
    5.5 kB
    xet
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  • vocab.txt
    248 kB
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