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nlpai-lab
/
KURE-Sparse-nano

Feature Extraction
sentence-transformers
Safetensors
Korean
English
modernbert
sparse-encoder
sparse
splade
learned-sparse-retrieval
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SparseEncoder
    
    model = SparseEncoder("nlpai-lab/KURE-Sparse-nano")
    
    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-nano
301 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
yjoonjang's picture
yjoonjang
HTML result tables, KURE rows in crimson
4d68cc6 verified 6 days ago
  • 1_ShiftedTopKSpladePooling
    KURE-Sparse-nano 13 days ago
  • assets
    Add LACONIC, OpenSearch doc-v3-gte and splade-v3 to BEIR-13, LACONIC RTEB without the dims cap 6 days ago
  • .gitattributes
    1.76 kB
    Model card: one English section with a BEIR-13 + RTEB figure 7 days ago
  • README.md
    40.6 kB
    HTML result tables, KURE rows in crimson 6 days ago
  • config.json
    1.92 kB
    KURE-Sparse-nano 13 days ago
  • config_sentence_transformers.json
    282 Bytes
    KURE-Sparse-nano 13 days ago
  • model.safetensors
    299 MB
    xet
    KURE-Sparse-nano 13 days ago
  • modules.json
    260 Bytes
    KURE-Sparse-nano 13 days ago
  • pooling.py
    7.15 kB
    KURE-Sparse-nano 13 days ago
  • sentence_bert_config.json
    221 Bytes
    KURE-Sparse-nano 13 days ago
  • tokenizer.json
    1.09 MB
    KURE-Sparse-nano 13 days ago
  • tokenizer_config.json
    634 Bytes
    KURE-Sparse-nano 13 days ago