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

as-bessonov
/
reranker_searchengines

Text Ranking
sentence-transformers
Safetensors
English
modernbert
cross-encoder
reranker
Generated from Trainer
dataset_size:578402
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use as-bessonov/reranker_searchengines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use as-bessonov/reranker_searchengines with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("as-bessonov/reranker_searchengines")
    
    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_searchengines
603 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
as-bessonov's picture
as-bessonov
bert - model
d024a21 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    601 kB
    bert - model 10 months ago
  • config.json
    1.43 kB
    bert - model 10 months ago
  • model.safetensors
    598 MB
    xet
    bert - model 10 months ago
  • special_tokens_map.json
    694 Bytes
    bert - model 10 months ago
  • tokenizer.json
    3.58 MB
    bert - model 10 months ago
  • tokenizer_config.json
    21 kB
    bert - model 10 months ago