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StyleDistance
/
mstyledistance

Feature Extraction
sentence-transformers
Safetensors
xlm-roberta
datadreamer
datadreamer-0.35.0
Synthetic
sentence-similarity
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use StyleDistance/mstyledistance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use StyleDistance/mstyledistance with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("StyleDistance/mstyledistance")
    
    sentences = [
        "彼は技術的な複雑さと格闘し、彼の作品は驚くべき視覚的緊張を生み出した。",
        "Serviste mariscos frescos en el condado de Middlesex y áreas circundantes.",
        "Él sirvió mariscos frescos en el condado de Middlesex y áreas circundantes."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
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  • Code of Conduct
  • Hub documentation

Is the dataset used for training this model going to be made available?

#2 opened about 1 year ago by
dbasu
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