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

yoriis
/
checkpoint

Text Ranking
sentence-transformers
Safetensors
bert
cross-encoder
Generated from Trainer
dataset_size:42460
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use yoriis/checkpoint with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("yoriis/checkpoint")
    
    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
checkpoint
543 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
yoriis's picture
yoriis
Add new CrossEncoder model
ed32d61 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    19.4 kB
    Add new CrossEncoder model about 1 year ago
  • config.json
    798 Bytes
    Add new CrossEncoder model about 1 year ago
  • model.safetensors
    541 MB
    xet
    Add new CrossEncoder model about 1 year ago
  • special_tokens_map.json
    695 Bytes
    Add new CrossEncoder model about 1 year ago
  • tokenizer.json
    1.78 MB
    Add new CrossEncoder model about 1 year ago
  • tokenizer_config.json
    1.86 kB
    Add new CrossEncoder model about 1 year ago
  • vocab.txt
    761 kB
    Add new CrossEncoder model about 1 year ago