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Chimalpopoka
/
CrossEncoderRanker

Text Classification
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:82796
loss:CrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Chimalpopoka/CrossEncoderRanker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Chimalpopoka/CrossEncoderRanker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Chimalpopoka/CrossEncoderRanker")
    
    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
CrossEncoderRanker
1.44 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Chimalpopoka's picture
Chimalpopoka
Полное обучение
b74107e verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    14.4 kB
    Полное обучение 8 months ago
  • config.json
    797 Bytes
    First version of my trained model 8 months ago
  • model.safetensors
    1.44 GB
    xet
    Полное обучение 8 months ago
  • special_tokens_map.json
    963 Bytes
    First version of my trained model 8 months ago
  • tokenizer.json
    3.33 MB
    First version of my trained model 8 months ago
  • tokenizer_config.json
    1.4 kB
    First version of my trained model 8 months ago