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Basar2004
/
turkish-sentence-encoder

Sentence Similarity
sentence-transformers
PyTorch
Turkish
turkish-sentence-encoder
sentence-embeddings
feature-extraction
turkish
contrastive-learning
mteb
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Basar2004/turkish-sentence-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Basar2004/turkish-sentence-encoder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Basar2004/turkish-sentence-encoder")
    
    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
turkish-sentence-encoder / mteb_results
8.45 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Basar2004's picture
Basar2004
Upload folder using huggingface_hub
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  • results_summary.json
    158 Bytes
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