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redis
/
langcache-reranker-v1

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:1056095
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use redis/langcache-reranker-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use redis/langcache-reranker-v1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("redis/langcache-reranker-v1")
    
    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-v1 / eval
155 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 274 commits
Aditeya Baral
Training in progress, step 275000
ee21ae0 verified 9 months ago
  • CrossEncoderClassificationEvaluator_test_results.csv
    155 kB
    Training in progress, step 275000 9 months ago