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.

We released also a successor of this model based on the RoBERTa architecture fav-kky/FERNET-C5-RoBERTa.

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}
}