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nlpai-lab
/
KURE-v2

Sentence Similarity
Safetensors
sentence-transformers
Korean
English
PyLate
modernbert
ColBERT
late-interaction
multi-vector
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use nlpai-lab/KURE-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use nlpai-lab/KURE-v2 with sentence-transformers:

    from pylate import models
    
    queries = [
        "Which planet is known as the Red Planet?",
        "What is the largest planet in our solar system?",
    ]
    
    documents = [
        ["Mars is the Red Planet.", "Venus is Earth's twin."],
        ["Jupiter is the largest planet.", "Saturn has rings."],
    ]
    
    model = models.ColBERT(model_name_or_path="nlpai-lab/KURE-v2")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
KURE-v2 / assets
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