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IoannisKat1
/
bge-reranker-ft-new2

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:8803
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use IoannisKat1/bge-reranker-ft-new2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use IoannisKat1/bge-reranker-ft-new2 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("IoannisKat1/bge-reranker-ft-new2")
    
    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-ft-new2
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
IoannisKat1's picture
IoannisKat1
Add finetuned model
073023a verified 8 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    48.6 kB
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  • config.json
    877 Bytes
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  • model.safetensors
    1.11 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
    Add finetuned model 8 months ago
  • special_tokens_map.json
    963 Bytes
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  • tokenizer.json
    17.1 MB
    xet
    Add finetuned model 8 months ago
  • tokenizer_config.json
    1.2 kB
    Add finetuned model 8 months ago