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gmguarino
/
answerai-colbert-small-v1-climatecheck

Text Ranking
sentence-transformers
Safetensors
English
bert
cross-encoder
Generated from Trainer
dataset_size:2369
loss:BinaryCrossEntropyLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use gmguarino/answerai-colbert-small-v1-climatecheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use gmguarino/answerai-colbert-small-v1-climatecheck with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("gmguarino/answerai-colbert-small-v1-climatecheck")
    
    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
answerai-colbert-small-v1-climatecheck
1.52 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
gmguarino's picture
gmguarino
initial commit
40c9d31 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago