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

  • Log In
  • Sign Up

Anas989898
/
creator-reranker-v1

Text Classification
sentence-transformers
Safetensors
English
Chinese
xlm-roberta
mteb
text-embeddings-inference
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Anas989898/creator-reranker-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Anas989898/creator-reranker-v1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Anas989898/creator-reranker-v1")
    
    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
creator-reranker-v1 / eval
1.02 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Anas989898's picture
Anas989898
Upload folder using huggingface_hub
644f89c verified 8 months ago
  • CrossEncoderCorrelationEvaluator_creator-val_results.csv
    1.02 kB
    Upload folder using huggingface_hub 8 months ago