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varin
/
jamniti-law-reranker-v1

Text Ranking
sentence-transformers
Safetensors
qwen3
cross-encoder
reranker
Generated from Trainer
dataset_size:37350
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use varin/jamniti-law-reranker-v1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("varin/jamniti-law-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
jamniti-law-reranker-v1
Ctrl+K
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  • 1 contributor
History: 7 commits
varin's picture
varin
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  • special_tokens_map.json
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  • vocab.json
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