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redis
/
langcache-reranker-v2-mnrl

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:76348209
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("redis/langcache-reranker-v2-mnrl")
    
    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-mnrl
303 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
adbaral's picture
adbaral
Add new CrossEncoder model
732feab verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    22.1 kB
    Add new CrossEncoder model 10 months ago
  • config.json
    1.42 kB
    Add new CrossEncoder model 10 months ago
  • model.safetensors
    299 MB
    xet
    Add new CrossEncoder model 10 months ago
  • special_tokens_map.json
    694 Bytes
    Add new CrossEncoder model 10 months ago
  • tokenizer.json
    3.58 MB
    Add new CrossEncoder model 10 months ago
  • tokenizer_config.json
    21 kB
    Add new CrossEncoder model 10 months ago