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Sgupta02
/
code-search-reranker-finetuned

sentence-transformers
Safetensors
modernbert
cross-encoder
reranker
Model card Files Files and versions
xet
Community

Instructions to use Sgupta02/code-search-reranker-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Sgupta02/code-search-reranker-finetuned with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Sgupta02/code-search-reranker-finetuned")
    
    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
code-search-reranker-finetuned
602 MB
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  • 1 contributor
History: 3 commits
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Sgupta02
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  • .gitattributes
    1.52 kB
    initial commit 13 days ago
  • README.md
    876 Bytes
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  • config.json
    1.36 kB
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  • model.safetensors
    598 MB
    xet
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  • special_tokens_map.json
    731 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    22 kB
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