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redis
/
langcache-reranker-v2-bce

Text Ranking
sentence-transformers
Safetensors
English
modernbert
cross-encoder
text-classification
sentence-pair-classification
semantic-similarity
semantic-search
retrieval
reranking
Generated from Trainer
dataset_size:40015318
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use redis/langcache-reranker-v2-bce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use redis/langcache-reranker-v2-bce with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("redis/langcache-reranker-v2-bce")
    
    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
langcache-reranker-v2-bce / eval
30.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 52 commits
adbaral's picture
adbaral
Training in progress, step 1040000
a1e12db verified 8 months ago
  • CrossEncoderClassificationEvaluator_test_cls_results.csv
    30.5 kB
    Training in progress, step 1040000 8 months ago