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sirathic
/
intiqa

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
reranker
cross-encoder
islam
multilingual
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use sirathic/intiqa with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("sirathic/intiqa")
    
    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
intiqa
488 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
hakiiiizimana's picture
hakiiiizimana
Intiqa: 12-layer reranker distilled from our fine-tuned Qwen3-Reranker-0.6B, with benchmarks
7154473 verified 13 days ago
  • .gitattributes
    1.57 kB
    Intiqa: 12-layer reranker distilled from our fine-tuned Qwen3-Reranker-0.6B, with benchmarks 13 days ago
  • README.md
    2.89 kB
    Intiqa: 12-layer reranker distilled from our fine-tuned Qwen3-Reranker-0.6B, with benchmarks 13 days ago
  • config.json
    895 Bytes
    Intiqa: 12-layer reranker distilled from our fine-tuned Qwen3-Reranker-0.6B, with benchmarks 13 days ago
  • model.safetensors
    471 MB
    xet
    Intiqa: 12-layer reranker distilled from our fine-tuned Qwen3-Reranker-0.6B, with benchmarks 13 days ago
  • tokenizer.json
    17.1 MB
    xet
    Intiqa: 12-layer reranker distilled from our fine-tuned Qwen3-Reranker-0.6B, with benchmarks 13 days ago
  • tokenizer_config.json
    531 Bytes
    Intiqa: 12-layer reranker distilled from our fine-tuned Qwen3-Reranker-0.6B, with benchmarks 13 days ago