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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 / tokenizer
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Mannyking's picture
Mannyking
Upload tokenizer/config_sentence_transformers.json with huggingface_hub
89c45c6 verified 20 days ago
  • added_tokens.json
    35 Bytes
    Upload tokenizer/added_tokens.json with huggingface_hub 20 days ago
  • config_sentence_transformers.json
    997 Bytes
    Upload tokenizer/config_sentence_transformers.json with huggingface_hub 20 days ago
  • special_tokens_map.json
    662 Bytes
    Upload tokenizer/special_tokens_map.json with huggingface_hub 20 days ago
  • tokenizer.json
    33.4 MB
    xet
    Upload tokenizer/tokenizer.json with huggingface_hub 20 days ago
  • tokenizer.model
    4.69 MB
    xet
    Upload tokenizer/tokenizer.model with huggingface_hub 20 days ago
  • tokenizer_config.json
    1.16 MB
    Upload tokenizer/tokenizer_config.json with huggingface_hub 20 days ago