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NYSgpt
/
nsr-reranker

Text Ranking
sentence-transformers
Safetensors
English
modernbert
reranker
cross-encoder
nuclear-physics
NSR
EXFOR
NSR-CPT
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use NYSgpt/nsr-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use NYSgpt/nsr-reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("NYSgpt/nsr-reranker")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"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.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
nsr-reranker
602 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
NYSgpt's picture
NYSgpt
card: drop cost figures
1730c52 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    5.21 kB
    card: drop cost figures 3 days ago
  • config.json
    2.06 kB
    config: add global/local_rope_theta for TEI (values mirror rope_parameters) 10 days ago
  • model.safetensors
    598 MB
    xet
    NSR-CPT: weights + card 10 days ago
  • state.json
    270 Bytes
    NSR-CPT: weights + card 10 days ago
  • tokenizer.json
    3.58 MB
    NSR-CPT: weights + card 10 days ago
  • tokenizer_config.json
    571 Bytes
    NSR-CPT: weights + card 10 days ago