FERNET-C5
FERNET-C5 (Flexible Embedding Representation NETwork) is a monolingual Czech BERT-base model pre-trained from 93GB of Czech Colossal Clean Crawled Corpus (C5). See our paper for details.
Paper
https://link.springer.com/chapter/10.1007/978-3-030-89579-2_3
The preprint of our paper is available at https://arxiv.org/abs/2107.10042.
Citation
If you find this model useful, please cite our paper:
@inproceedings{FERNETC5,
title = {Comparison of Czech Transformers on Text Classification Tasks},
author = {Lehe{\v{c}}ka, Jan and {\v{S}}vec, Jan},
year = 2021,
booktitle = {Statistical Language and Speech Processing},
publisher = {Springer International Publishing},
address = {Cham},
pages = {27--37},
doi = {10.1007/978-3-030-89579-2_3},
isbn = {978-3-030-89579-2},
editor = {Espinosa-Anke, Luis and Mart{\'i}n-Vide, Carlos and Spasi{\'{c}}, Irena}
}
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