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foochun
/
bge-reranker-ft

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
Generated from Trainer
dataset_size:82744
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("foochun/bge-reranker-ft")
    
    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
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
foochun's picture
foochun
finetuned with additional names
c08f0f3 verified 10 months ago
  • .gitattributes
    1.57 kB
    Finetuned Reranker about 1 year ago
  • README.md
    13 kB
    finetuned with additional names 10 months ago
  • config.json
    877 Bytes
    finetuned with additional names 10 months ago
  • model.safetensors
    1.11 GB
    xet
    finetuned with additional names 10 months ago
  • special_tokens_map.json
    963 Bytes
    Finetuned Reranker about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    Finetuned Reranker about 1 year ago
  • tokenizer_config.json
    1.4 kB
    Finetuned Reranker about 1 year ago