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redis
/
langcache-embed-v1

Sentence Similarity
sentence-transformers
ONNX
Safetensors
OpenVINO
modernbert
loss:OnlineContrastiveLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
8

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("redis/langcache-embed-v1")
    
    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]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
langcache-embed-v1 / openvino
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
waris-gill's picture
waris-gill
Add new SentenceTransformer model with an openvino backend (#7)
4b7a7c3 verified 12 months ago
  • openvino_model.bin
    596 MB
    xet
    Add new SentenceTransformer model with an openvino backend (#7) 12 months ago
  • openvino_model.xml
    792 kB
    Add new SentenceTransformer model with an openvino backend (#7) 12 months ago