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jamie8johnson
/
code-reranker-v1

Text Classification
sentence-transformers
ONNX
English
code
bert
cross-encoder
reranker
code-search
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use jamie8johnson/code-reranker-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use jamie8johnson/code-reranker-v1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("jamie8johnson/code-reranker-v1")
    
    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-reranker-v1
91.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
jamie8johnson's picture
jamie8johnson
Add model card documenting negative result
37958cc verified about 2 months ago
  • onnx
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  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.35 kB
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  • config.json
    823 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.27 kB
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  • vocab.txt
    232 kB
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