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gallerywise
/
coreml-embeddings

Core ML
sentence-transformers
core-ml
siglip
embeddings
on-device
Model card Files Files and versions
xet
Community

Instructions to use gallerywise/coreml-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use gallerywise/coreml-embeddings with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("gallerywise/coreml-embeddings")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
coreml-embeddings
416 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Adrian Dankiv
Add Core ML SigLIP + MiniLM fp16 artifacts (AIB-119)
1d84a45 21 days ago
  • .gitattributes
    1.52 kB
    initial commit 21 days ago
  • README.md
    1.78 kB
    Add Core ML SigLIP + MiniLM fp16 artifacts (AIB-119) 21 days ago
  • siglip_logit_params.json
    69 Bytes
    Add Core ML SigLIP + MiniLM fp16 artifacts (AIB-119) 21 days ago
  • siglip_text.mlpackage.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    204 MB
    xet
    Add Core ML SigLIP + MiniLM fp16 artifacts (AIB-119) 21 days ago
  • siglip_vision.mlpackage.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    171 MB
    xet
    Add Core ML SigLIP + MiniLM fp16 artifacts (AIB-119) 21 days ago
  • text_embed.mlpackage.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    41.3 MB
    xet
    Add Core ML SigLIP + MiniLM fp16 artifacts (AIB-119) 21 days ago