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nlpai-lab
/
KURE-v2-unsupervised

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

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

  • Libraries
  • sentence-transformers

    How to use nlpai-lab/KURE-v2-unsupervised 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-unsupervised")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
KURE-v2-unsupervised
308 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
yjoonjang's picture
yjoonjang
Update README.md
87246ed verified 4 days ago
  • 1_Dense
    Initial commit 9 days ago
  • 2_Dense
    Initial commit 9 days ago
  • 3_Dense
    Initial commit 9 days ago
  • .gitattributes
    1.52 kB
    Initial commit 9 days ago
  • README.md
    5.5 kB
    Update README.md 4 days ago
  • config.json
    1.92 kB
    Initial commit 9 days ago
  • config_sentence_transformers.json
    760 Bytes
    Initial commit 9 days ago
  • model.safetensors
    297 MB
    xet
    Initial commit 9 days ago
  • modules.json
    422 Bytes
    Initial commit 9 days ago
  • sentence_bert_config.json
    55 Bytes
    Initial commit 9 days ago
  • tokenizer.json
    1.09 MB
    Initial commit 9 days ago
  • tokenizer_config.json
    412 Bytes
    Initial commit 9 days ago