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