Instructions to use Querit/Querit-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Querit/Querit-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Querit/Querit-4B") model = AutoModel.from_pretrained("Querit/Querit-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Citation
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If you find Querit-Reranker useful for your research or applications, please cite our paper:
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```bibtex
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@misc{zhong2026queritrerankertrainingcompactmultilingual,
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title={Querit-Reranker: Training Compact Multilingual Rerankers via Efficient Label-Free Distribution Adaptation},
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## Citation
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If you find Querit-Reranker useful for your research or applications, please cite our paper:
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```bibtex
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@misc{zhong2026queritrerankertrainingcompactmultilingual,
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title={Querit-Reranker: Training Compact Multilingual Rerankers via Efficient Label-Free Distribution Adaptation},
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