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davanstrien
/
fineweb-c-quality-reranker-v2

Text Ranking
sentence-transformers
Safetensors
multilingual
modernbert
cross-encoder
reranker
Generated from Trainer
dataset_size:9220
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use davanstrien/fineweb-c-quality-reranker-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use davanstrien/fineweb-c-quality-reranker-v2 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("davanstrien/fineweb-c-quality-reranker-v2")
    
    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
fineweb-c-quality-reranker-v2 / eval
1.38 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
davanstrien's picture
davanstrien HF Staff
Training in progress, step 578
ed4137e verified 7 days ago
  • CrossEncoderClassificationEvaluator_fineweb_c_eval_results.csv
    1.38 kB
    Training in progress, step 578 7 days ago