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Duplicated from  BAAI/bge-reranker-large

srikanthmalla
/
BAAI-bge-reranker-large

Text Ranking
sentence-transformers
PyTorch
ONNX
Safetensors
Chinese
English
xlm-roberta
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use srikanthmalla/BAAI-bge-reranker-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use srikanthmalla/BAAI-bge-reranker-large with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("srikanthmalla/BAAI-bge-reranker-large")
    
    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
BAAI-bge-reranker-large / onnx
2.24 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
srikanthmalla's picture
srikanthmalla
Duplicate from BAAI/bge-reranker-large
0fb5ba4 verified over 2 years ago
  • model.onnx
    618 kB
    xet
    Duplicate from BAAI/bge-reranker-large over 2 years ago
  • model.onnx_data
    2.24 GB
    xet
    Duplicate from BAAI/bge-reranker-large over 2 years ago