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truong1301
/
reranker

Text Ranking
sentence-transformers
Safetensors
bert
cross-encoder
Generated from Trainer
dataset_size:25200
loss:FitMixinLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use truong1301/reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use truong1301/reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("truong1301/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
reranker
91.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
truong1301's picture
truong1301
Upload 8 files
4b86c18 verified about 1 year ago
  • eval
    Upload 8 files about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    19.3 kB
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  • config.json
    829 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • special_tokens_map.json
    125 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
    Upload 8 files about 1 year ago