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:
# 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
Update README.md
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README.md
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As of June 20, 2026, Querit-Reranker-4B achieves the best average score of **71.09** among publicly available models on the **MTEB Multilingual v2 reranking tasks**, averaged over six tasks.
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*Reranking performance on the MTEB Multilingual v2 reranking tasks. Results are measured using the official task metrics, and the average is computed over six tasks.*
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As of June 20, 2026, Querit-Reranker-4B achieves the best average score of **71.09** among publicly available models on the **MTEB Multilingual v2 reranking tasks**, averaged over six tasks.
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