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PSanni
/
bge-reranker-base-tuned

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
Generated from Trainer
dataset_size:804721
loss:LambdaLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use PSanni/bge-reranker-base-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use PSanni/bge-reranker-base-tuned with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("PSanni/bge-reranker-base-tuned")
    
    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
bge-reranker-base-tuned
578 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
PSanni's picture
PSanni
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  • .gitattributes
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  • README.md
    32.1 kB
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  • config.json
    878 Bytes
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  • model.safetensors
    556 MB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    963 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.2 kB
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