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Mannyking
/
embeddinggemma-coreml

Feature Extraction
sentence-transformers
Core ML
text-embeddings
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use Mannyking/embeddinggemma-coreml with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Mannyking/embeddinggemma-coreml")
    
    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
embeddinggemma-coreml
2.11 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
Mannyking's picture
Mannyking
Upload README.md with huggingface_hub
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  • f16-ios15
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  • tokenizer
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  • .gitattributes
    1.58 kB
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  • README.md
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