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thealper2
/
intfloat-multilingual-e5-base-tr-nli

Sentence Similarity
sentence-transformers
Safetensors
Turkish
xlm-roberta
feature-extraction
embeddings
turkish
türkçe
e5
retrieval
semantic-search
mteb
tr-mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use thealper2/intfloat-multilingual-e5-base-tr-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use thealper2/intfloat-multilingual-e5-base-tr-nli with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("thealper2/intfloat-multilingual-e5-base-tr-nli")
    
    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
intfloat-multilingual-e5-base-tr-nli
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
thealper2's picture
thealper2
Update README.md
b525f45 verified 7 days ago
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
    16.8 MB
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  • tokenizer_config.json
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