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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Diabase
/
reranker-1

Text Classification
sentence-transformers
Safetensors
Swedish
English
eurobert
diabase
reranker
cross-encoder
text-ranking
retrieval
rag
swedish
european-ai
sovereign-ai
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Diabase/reranker-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Diabase/reranker-1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Diabase/reranker-1", trust_remote_code=True)
    
    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
reranker-1
1.55 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
MattisRosen's picture
MattisRosen
initial commit
4a5ec00 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    28 Bytes
    initial commit about 2 months ago