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raphaelsty
/
model-test-onnx

Feature Extraction
ONNX
sentence-transformers
colbert-onnx
colbert
Model card Files Files and versions
xet
Community

Instructions to use raphaelsty/model-test-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use raphaelsty/model-test-onnx with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("raphaelsty/model-test-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
model-test-onnx
168 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
raphaelsty's picture
raphaelsty
Upload README.md with huggingface_hub
f273bb0 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    1.15 kB
    Upload README.md with huggingface_hub 3 months ago
  • model.onnx
    133 MB
    xet
    Upload model.onnx with huggingface_hub 3 months ago
  • model_int8.onnx
    33.9 MB
    xet
    Upload model_int8.onnx with huggingface_hub 3 months ago
  • onnx_config.json
    793 Bytes
    Upload onnx_config.json with huggingface_hub 3 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer.json with huggingface_hub 3 months ago