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

torontodeveloper
/
mind2web-candidate-ranker

Text Ranking
sentence-transformers
Safetensors
English
deberta-v2
cross-encoder
web-agent
computer-use
mind2web
candidate-generation
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use torontodeveloper/mind2web-candidate-ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use torontodeveloper/mind2web-candidate-ranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("torontodeveloper/mind2web-candidate-ranker")
    
    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
mind2web-candidate-ranker
749 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
torontodeveloper's picture
torontodeveloper
Add model card with eval results
d70f461 verified 18 days ago
  • .gitattributes
    1.52 kB
    initial commit 18 days ago
  • README.md
    2.93 kB
    Add model card with eval results 18 days ago
  • added_tokens.json
    23 Bytes
    Upload fine-tuned DeBERTa-v3 Mind2Web candidate ranker 18 days ago
  • config.json
    958 Bytes
    Upload fine-tuned DeBERTa-v3 Mind2Web candidate ranker 18 days ago
  • model.safetensors
    738 MB
    xet
    Upload fine-tuned DeBERTa-v3 Mind2Web candidate ranker 18 days ago
  • special_tokens_map.json
    286 Bytes
    Upload fine-tuned DeBERTa-v3 Mind2Web candidate ranker 18 days ago
  • spm.model
    2.46 MB
    xet
    Upload fine-tuned DeBERTa-v3 Mind2Web candidate ranker 18 days ago
  • tokenizer.json
    8.66 MB
    Upload fine-tuned DeBERTa-v3 Mind2Web candidate ranker 18 days ago
  • tokenizer_config.json
    1.28 kB
    Upload fine-tuned DeBERTa-v3 Mind2Web candidate ranker 18 days ago