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DeepPavlov/bert-base-bg-cs-pl-ru-cased
bert-base-bg-cs-pl-ru-cased is a feature extraction model from DeepPavlov. Use it when you need embeddings to search or compare text. It is set up for transformers.
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 bui…
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From the Hugging Face model README
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.
08.11.2021: upload model with MLM and NSP heads
[1]: Arkhipov M., Trofimova M., Kuratov Y., Sorokin A. (2019). Tuning Multilingual Transformers for Language-Specific Named Entity Recognition. ACL anthology W19-3712.