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

nickprock
/
cross-encoder-italian-bert-stsb

Text Ranking
sentence-transformers
PyTorch
Safetensors
Italian
bert
cross-encoder
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use nickprock/cross-encoder-italian-bert-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use nickprock/cross-encoder-italian-bert-stsb with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("nickprock/cross-encoder-italian-bert-stsb")
    
    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-encoder-italian-bert-stsb
1.5 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
nickprock's picture
nickprock
initial commit
d631470 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    21 Bytes
    initial commit about 3 years ago