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BirizY
/
embeddingdeneme

sentence-transformers
Turkish
text-to-sql
semantic-search
natural-language-processing
hybrid-system
structured-output
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use BirizY/embeddingdeneme with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("BirizY/embeddingdeneme")
    
    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
embeddingdeneme
5.77 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
BirizYazilim's picture
BirizYazilim
Update README.md
06e4bd7 verified about 14 hours ago
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  • .gitattributes
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    initial commit about 14 hours ago
  • README.md
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    Update README.md about 14 hours ago