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zkwang
/
bge-m3-h

Sentence Similarity
sentence-transformers
PyTorch
ONNX
xlm-roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use zkwang/bge-m3-h with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("zkwang/bge-m3-h")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
bge-m3-h / imgs
1.79 MB
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  • 1 contributor
History: 1 commit
zkwang's picture
zkwang
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