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

ingridchien
/
harvard-loop-reranker

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:68056
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use ingridchien/harvard-loop-reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("ingridchien/harvard-loop-reranker")
    
    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
harvard-loop-reranker
2.29 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ingridchien's picture
ingridchien
Upload 7 files
3836884 verified 6 months ago
  • .gitattributes
    1.57 kB
    Upload 7 files 6 months ago
  • README.md
    16.1 kB
    Upload 7 files 6 months ago
  • config.json
    873 Bytes
    Upload 7 files 6 months ago
  • model.safetensors
    2.27 GB
    xet
    Upload 7 files 6 months ago
  • special_tokens_map.json
    964 Bytes
    Upload 7 files 6 months ago
  • tokenizer.json
    17.1 MB
    xet
    Upload 7 files 6 months ago
  • tokenizer_config.json
    1.2 kB
    Upload 7 files 6 months ago
  • vocab.txt
    232 kB
    Upload 7 files 6 months ago