DeepPavlov / bert-base-bg-cs-pl-ru-cased

huggingface.co
Total runs: 133
24-hour runs: -3
7-day runs: -1
30-day runs: 71
Model's Last Updated: November 08 2021
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Introduction of bert-base-bg-cs-pl-ru-cased

Model Details of bert-base-bg-cs-pl-ru-cased

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.

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.

Runs of DeepPavlov bert-base-bg-cs-pl-ru-cased on huggingface.co

133
Total runs
-3
24-hour runs
-5
3-day runs
-1
7-day runs
71
30-day runs

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