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ananddey
/
bge-m3

ONNX
sentence-transformers
multilingual
onnxruntime
xlm-roberta
embeddings
retrieval
int8
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use ananddey/bge-m3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ananddey/bge-m3")
    
    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
587 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ananddey's picture
ananddey
update readme
c07bc77 verified 2 minutes ago
  • .gitattributes
    1.57 kB
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  • README.md
    610 Bytes
    update readme 2 minutes ago
  • bge-m3.onnx
    569 MB
    xet
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  • config.json
    685 Bytes
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  • ort_config.json
    797 Bytes
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  • special_tokens_map.json
    1.02 kB
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  • tokenizer.json
    18.1 MB
    xet
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  • tokenizer_config.json
    1.26 kB
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