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NGA-KR
/
ko-embed-cls

Sentence Similarity
sentence-transformers
Safetensors
Korean
xlm-roberta
embedding
classification
mteb
korean
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use NGA-KR/ko-embed-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use NGA-KR/ko-embed-cls with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NGA-KR/ko-embed-cls")
    
    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
ko-embed-cls
2.29 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
nga-leo's picture
nga-leo
Update model card
796cf34 verified about 1 month ago
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  • .gitattributes
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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
    2.27 GB
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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