Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

ColeH0415
/
comp90042-crossencoder-factcheck

Text Ranking
sentence-transformers
Safetensors
deberta-v2
cross-encoder
reranker
Generated from Trainer
dataset_size:7419
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ColeH0415/comp90042-crossencoder-factcheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ColeH0415/comp90042-crossencoder-factcheck with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("ColeH0415/comp90042-crossencoder-factcheck")
    
    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
comp90042-crossencoder-factcheck / eval
471 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ColeH0415's picture
ColeH0415
CE fine-tuned epoch 3/3
b978496 verified 11 days ago
  • CrossEncoderClassificationEvaluator_ce-val_results.csv
    471 Bytes
    CE fine-tuned epoch 3/3 11 days ago