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RadBERT
StanfordAIMI/RadBERT
RadBERT is a fill-mask model from StanfordAIMI. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
RadBERT was continuously pre-trained on radiology reports from a BioBERT initialization.
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Repo size
872 MB
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28
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- May 4, 2022
- Updated
- Nov 19, 2022
- SHA
- c8f97547
Try a prompt
Model card
From the Hugging Face model README
RadBERT was continuously pre-trained on radiology reports from a BioBERT initialization.
Citation
@article{chambon_cook_langlotz_2022,
title={Improved fine-tuning of in-domain transformer model for inferring COVID-19 presence in multi-institutional radiology reports},
DOI={10.1007/s10278-022-00714-8}, journal={Journal of Digital Imaging},
author={Chambon, Pierre and Cook, Tessa S. and Langlotz, Curtis P.},
year={2022}
}
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Hf Inference
- live
- Created
- May 4, 2022
- Updated
- Nov 19, 2022