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KitsuMate
/
all-MiniLM-L6-v2-onnx

ONNX
sentence-transformers
onnxruntime
embeddings
Model card Files Files and versions
xet
Community

Instructions to use KitsuMate/all-MiniLM-L6-v2-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use KitsuMate/all-MiniLM-L6-v2-onnx with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("KitsuMate/all-MiniLM-L6-v2-onnx")
    
    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
all-MiniLM-L6-v2-onnx
121 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
KitsuMate's picture
KitsuMate
docs(models): document standard artifacts
9ec4eb6 verified 8 days ago
  • onnx
    refactor(models): use standard default ONNX filename 8 days ago
  • .gitattributes
    1.65 kB
    Flatten ONNX file layout 9 days ago
  • LICENSE
    11.6 kB
    Add files using upload-large-folder tool 9 days ago
  • README.md
    1.4 kB
    docs(models): document standard artifacts 8 days ago
  • tokenizer.json
    534 kB
    Add files using upload-large-folder tool 9 days ago
  • vocab.txt
    232 kB
    Add files using upload-large-folder tool 9 days ago