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newtechstudio
/
bge-m3-onnx

Feature Extraction
ONNX
sentence-transformers
multilingual
text-embeddings-inference
xlm-roberta
embeddings
Model card Files Files and versions
xet
Community

Instructions to use newtechstudio/bge-m3-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use newtechstudio/bge-m3-onnx with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("newtechstudio/bge-m3-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
bge-m3-onnx / onnx
2.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
hangerrits's picture
hangerrits
initial: bge-m3 fp32 ONNX with dynamic batch+seq axes
709efe0 verified 3 months ago
  • model.onnx
    433 kB
    xet
    initial: bge-m3 fp32 ONNX with dynamic batch+seq axes 3 months ago
  • model.onnx_data
    2.27 GB
    xet
    initial: bge-m3 fp32 ONNX with dynamic batch+seq axes 3 months ago