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remove excess line breaks in DeepPavlov model cards

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Aleksei Lymar authored and Julien Chaumond committed 2020-03-06 17:19:35 -05:00
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model_cards/DeepPavlov/bert-base-bg-cs-pl-ru-cased/README.md
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# bert-base-bg-cs-pl-ru-cased
SlavicBERT\[1\] \(Slavic \(bg, cs, pl, ru\), cased, 12-layer, 768-hidden, 12-heads, 180M parameters\) was trained
on Russian News and four Wikipedias: Bulgarian, Czech, Polish, and Russian.
Subtoken vocabulary was built using this data. Multilingual BERT was used as an initialization for SlavicBERT.
SlavicBERT\[1\] \(Slavic \(bg, cs, pl, ru\), cased, 12‑layer, 768‑hidden, 12‑heads, 180M parameters\) was trained on Russian News and four Wikipedias: Bulgarian, Czech, Polish, and Russian. Subtoken vocabulary was built using this data. Multilingual BERT was used as an initialization for SlavicBERT.
\[1\]: Arkhipov M., Trofimova M., Kuratov Y., Sorokin A. \(2019\).
[Tuning Multilingual Transformers for Language-Specific Named Entity Recognition](https://www.aclweb.org/anthology/W19-3712/).
ACL anthology W19-3712.
\[1\]: Arkhipov M., Trofimova M., Kuratov Y., Sorokin A. \(2019\). [Tuning Multilingual Transformers for Language-Specific Named Entity Recognition](https://www.aclweb.org/anthology/W19-3712/). ACL anthology W19-3712.