Instructions to use joeranbosma/dragon-bert-base-domain-specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeranbosma/dragon-bert-base-domain-specific with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joeranbosma/dragon-bert-base-domain-specific")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joeranbosma/dragon-bert-base-domain-specific") model = AutoModelForMaskedLM.from_pretrained("joeranbosma/dragon-bert-base-domain-specific", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add citation and evaluation results
Browse files
README.md
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## Evaluation results
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## Evaluation results
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This model was evaluated on the [DRAGON benchmark for clinical NLP](https://dragon.grand-challenge.org/evaluation/test/leaderboard/).
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## Citation
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If you are using DRAGON resources, please cite the following article:
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> J. S. Bosma, K. Dercksen, L. Builtjes, R. André, C, Roest, S. J. Fransen, C. R. Noordman, M. Navarro-Padilla, J. Lefkes, N. Alves, M. J. J. de Grauw, L. van Eekelen, J. M. A. Spronck, M. Schuurmans, A. Saha, J. J. Twilt, W. Aswolinskiy, W. Hendrix, B. de Wilde, D. Geijs, J. Veltman, D. Yakar, M. de Rooij, F. Ciompi, A. Hering, J. Geerdink, and H. Huisman on behalf of the DRAGON consortium. The DRAGON benchmark for clinical NLP. *npj Digital Medicine* 8, 289 (2025). [https://doi.org/10.1038/s41746-025-01626-x](https://doi.org/10.1038/s41746-025-01626-x)
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Download the citation file for your reference manager: [BibTeX](https://github.com/DIAGNijmegen/dragon/blob/main/citation.bib) | [RIS](https://github.com/DIAGNijmegen/dragon/blob/main/citation.ris)
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