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shurpy
/
Ru-Eng-adfilter

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:2400
loss:BinaryCrossEntropyLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use shurpy/Ru-Eng-adfilter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use shurpy/Ru-Eng-adfilter with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("shurpy/Ru-Eng-adfilter")
    
    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
Ru-Eng-adfilter
1.55 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
shurpy's picture
shurpy
initial commit
70bd1dd verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    31 Bytes
    initial commit 8 months ago