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redis
/
langcache-embed-v3-mini-experimental

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

Instructions to use redis/langcache-embed-v3-mini-experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use redis/langcache-embed-v3-mini-experimental with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("redis/langcache-embed-v3-mini-experimental")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
langcache-embed-v3-mini-experimental / eval
22.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 87 commits
radoslavralev's picture
radoslavralev
Training in progress, step 20000
7f7923c verified 6 months ago
  • Information-Retrieval_evaluation_test_results.csv
    22.6 kB
    Training in progress, step 20000 6 months ago