 Citation  If you use the model, please cite the GitHub repository where the fine-tuning experiments are explained:  ```  @misc{Kuzman2022,   author = {Kuzman, Taja},   title = {{Comparison of genre datasets: CORE, GINCO and FTD}},   year = {2022},   publisher = {GitHub},   journal = {GitHub repository},   howpublished = {\url{https://github.com/TajaKuzman/Genre-Datasets-Comparison}} } ```  and the following paper on which the original model is based: ``` @article{DBLP:journals/corr/abs-1911-02116,   author    = {Alexis Conneau and                Kartikay Khandelwal and                Naman Goyal and                Vishrav Chaudhary and                Guillaume Wenzek and                Francisco Guzm{\'{a}}n and                Edouard Grave and                Myle Ott and                Luke Zettlemoyer and                Veselin Stoyanov},   title     = {Unsupervised Cross-lingual Representation Learning at Scale},   journal   = {CoRR},   volume    = {abs/1911.02116},   year      = {2019},   url       = {http://arxiv.org/abs/1911.02116},   eprinttype = {arXiv},   eprint    = {1911.02116},   timestamp = {Mon, 11 Nov 2019 18:38:09 +0100},   biburl    = {https://dblp.org/rec/journals/corr/abs-1911-02116.bib},   bibsource = {dblp computer science bibliography, https://dblp.org} } ```  To cite the datasets that were used for fine-tuning:  CORE dataset:  ``` @article{egbert2015developing,   title={Developing a bottom-up, user-based method of web register classification},   author={Egbert, Jesse and Biber, Douglas and Davies, Mark},   journal={Journal of the Association for Information Science and Technology},   volume={66},   number={9},   pages={1817--1831},   year={2015},   publisher={Wiley Online Library} } ```  GINCO dataset:  ``` @InProceedings{kuzman-rupnik-ljubei:2022:LREC,   author    = {Kuzman, Taja  and  Rupnik, Peter  and  Ljube{\v{s}}i{\'c}, Nikola},   title     = {{The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild}},   booktitle      = {Proceedings of the Language Resources and Evaluation Conference},   month          = {},   year           = {2022},   address        = {Marseille, France},   publisher      = {European Language Resources Association},   pages     = {1584--1594},   url       = {https://aclanthology.org/2022.lrec-1.170} } ```  FTD dataset:  ``` @article{sharoff2018functional,   title={Functional text dimensions for the annotation of web corpora},   author={Sharoff, Serge},   journal={Corpora},   volume={13},   number={1},   pages={65--95},   year={2018},   publisher={Edinburgh University Press The Tun-Holyrood Road, 12 (2f) Jackson's Entry~…} } ```  The datasets are available at: 1. http://hdl.handle.net/11356/1467 (GINCO) 2. https://github.com/TurkuNLP/CORE-corpus (CORE) 3. https://github.com/ssharoff/genre-keras (FTD)