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

madebyaris
/
rerank-indonesia

Text Ranking
sentence-transformers
ONNX
Safetensors
Indonesian
xlm-roberta
reranker
cross-encoder
indonesian
bahasa-indonesia
knowledge-distillation
flashrank
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use madebyaris/rerank-indonesia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use madebyaris/rerank-indonesia with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("madebyaris/rerank-indonesia")
    
    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
rerank-indonesia / onnx
141 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
madebyaris's picture
madebyaris
Add quantized ONNX v2 (v2-distill)
4d21eff verified 4 days ago
  • config.json
    731 Bytes
    Add quantized ONNX model 10 days ago
  • model.onnx
    118 MB
    xet
    Add quantized ONNX v2 (v2-distill) 4 days ago
  • ort_config.json
    763 Bytes
    Add quantized ONNX model 10 days ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Add quantized ONNX v2 (v2-distill) 4 days ago
  • special_tokens_map.json
    964 Bytes
    Add quantized ONNX model 10 days ago
  • tokenizer.json
    17.1 MB
    xet
    Add quantized ONNX v2 (v2-distill) 4 days ago
  • tokenizer_config.json
    1.37 kB
    Add quantized ONNX v2 (v2-distill) 4 days ago