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redis
/
langcache-reranker-v1-miniL6

Text Ranking
sentence-transformers
Safetensors
English
bert
cross-encoder
text-classification
sentence-pair-classification
semantic-similarity
semantic-search
retrieval
reranking
Generated from Trainer
dataset_size:1056095
loss:BinaryCrossEntropyLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use redis/langcache-reranker-v1-miniL6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use redis/langcache-reranker-v1-miniL6 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("redis/langcache-reranker-v1-miniL6")
    
    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-miniL6 / eval
155 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 28 commits
adbaral's picture
adbaral
Training in progress, step 275000
a126bd7 verified 5 months ago
  • CrossEncoderClassificationEvaluator_test_cls_results.csv
    155 kB
    Training in progress, step 275000 5 months ago