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Lianglab/PharmBERT-cased
PharmBERT-cased is a fill-mask model from Lianglab. Use it when you need the model to fill a missing word. It is set up for transformers.
A domain-specific BERT model for drug labels
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From the Hugging Face model README
A domain-specific BERT model for drug labels
Please refer to the PharmBERT paper for the model description: https://doi.org/10.1093/bib/bbad226
For pre-training and fine-tuning codes, please refer to the PharmBERT Github: https://github.com/TahaAslani/PharmBERT
Please cite as:
@article{PharmBERT,
author = {ValizadehAslani, Taha and Shi, Yiwen and Ren, Ping and Wang, Jing and Zhang, Yi and Hu, Meng and Zhao, Liang and Liang, Hualou},
title = "{PharmBERT: a domain-specific BERT model for drug labels}",
journal = {Briefings in Bioinformatics},
year = {2023},
month = {06},
issn = {1477-4054},
doi = {10.1093/bib/bbad226},
url = {https://doi.org/10.1093/bib/bbad226},
note = {bbad226},
eprint = {https://academic.oup.com/bib/advance-article-pdf/doi/10.1093/bib/bbad226/50603440/bbad226.pdf},
}