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fkuyumcu
/
turkish-embedding-v3

sentence-transformers
PyTorch
Turkish
gemma3
embedding
turkish
Model card Files Files and versions
xet
Community
1

Instructions to use fkuyumcu/turkish-embedding-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use fkuyumcu/turkish-embedding-v3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("fkuyumcu/turkish-embedding-v3")
    
    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-embedding-v3
2.72 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
fkuyumcu's picture
fkuyumcu
Update config.json
d26cb87 verified about 1 year ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
    690 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    2.69 GB
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  • special_tokens_map.json
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  • tokenizer.json
    33.4 MB
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  • tokenizer.model
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  • tokenizer_config.json
    1.16 MB
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