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Purdy0228
/
ConvMemory-v2-Evidence-Reranker

Text Ranking
sentence-transformers
Safetensors
convmemory
reranking
conversational-memory
cross-encoder
evidence-reranker
Model card Files Files and versions
xet
Community

Instructions to use Purdy0228/ConvMemory-v2-Evidence-Reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Purdy0228/ConvMemory-v2-Evidence-Reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Purdy0228/ConvMemory-v2-Evidence-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
ConvMemory-v2-Evidence-Reranker
1.52 kB
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  • 1 contributor
History: 1 commit
Purdy0228's picture
Purdy0228
initial commit
7d851a1 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago