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nlpai-lab
/
KURE-Sparse-base

Feature Extraction
sentence-transformers
Safetensors
Korean
English
milco
sparse-encoder
sparse
splade
learned-sparse-retrieval
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SparseEncoder
    
    model = SparseEncoder("nlpai-lab/KURE-Sparse-base", trust_remote_code=True)
    
    queries = ["Which planet is known as the Red Planet?"]
    documents = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    ]
    
    query_embeddings = model.encode_query(queries)
    document_embeddings = model.encode_document(documents)
    
    similarities = model.similarity(query_embeddings, document_embeddings)
    print(similarities)
  • Notebooks
  • Google Colab
  • Kaggle
KURE-Sparse-base / assets
110 kB
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  • 1 contributor
History: 1 commit
yjoonjang's picture
yjoonjang
KURE-Sparse-base
63bb3d9 1 day ago
  • ndcg_flops.png
    110 kB
    xet
    KURE-Sparse-base 1 day ago