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guyhadad01
/
cross_v2

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:32540
loss:BinaryCrossEntropyLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use guyhadad01/cross_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use guyhadad01/cross_v2 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("guyhadad01/cross_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
cross_v2
2.29 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
guyhadad01's picture
guyhadad01
Add new CrossEncoder model
eb835e0 verified 8 months ago
  • .gitattributes
    1.57 kB
    Add new CrossEncoder model 8 months ago
  • README.md
    45.5 kB
    Add new CrossEncoder model 8 months ago
  • config.json
    879 Bytes
    Add new CrossEncoder model 8 months ago
  • model.safetensors
    2.27 GB
    xet
    Add new CrossEncoder model 8 months ago
  • special_tokens_map.json
    964 Bytes
    Add new CrossEncoder model 8 months ago
  • tokenizer.json
    17.1 MB
    xet
    Add new CrossEncoder model 8 months ago
  • tokenizer_config.json
    1.4 kB
    Add new CrossEncoder model 8 months ago