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redis
/
langcache-embed-experimental

Sentence Similarity
sentence-transformers
Safetensors
English
bert
biencoder
text-classification
sentence-pair-classification
semantic-similarity
semantic-search
retrieval
reranking
Generated from Trainer
dataset_size:9233417
loss:ArcFaceInBatchLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use redis/langcache-embed-experimental with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("redis/langcache-embed-experimental")
    
    sentences = [
        "Hayley Vaughan portrayed Ripa on the ABC daytime soap opera , `` All My Children `` , between 1990 and 2002 .",
        "Traxxpad is a music application for Sony 's PlayStation Portable published by Definitive Studios and developed by Eidos Interactive .",
        "Between 1990 and 2002 , Hayley Vaughan Ripa portrayed in the ABC soap opera `` All My Children `` .",
        "Between 1990 and 2002 , Ripa Hayley portrayed Vaughan in the ABC soap opera `` All My Children `` ."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
langcache-embed-experimental / eval
131 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 351 commits
radoslavralev's picture
radoslavralev
Training in progress, step 67500
39cad4a verified 7 months ago
  • Information-Retrieval_evaluation_test_predictions_cosine.jsonl
    131 MB
    xet
    Training in progress, step 67500 7 months ago
  • Information-Retrieval_evaluation_test_results.csv
    74.5 kB
    Training in progress, step 67500 7 months ago