Merge branch 'main' of https://huggingface.co/sagteam/rubert-base-cased-mcn into main

README.md

@@ -3,10 +3,7 @@ language:
 - ru
 ---
 
-# rubert-base-cased
+# rubert-base-cased-mcn
 
-RuBERT \(Russian, cased, 12‑layer, 768‑hidden, 12‑heads, 180M parameters\) was trained on the Russian part of Wikipedia and news data. We used this training data to build a vocabulary of Russian subtokens and took a multilingual version of BERT‑base as an initialization for RuBERT\[1\].
-
-08.11.2021: upload model with MLM and NSP heads
-
-\[1\]: Kuratov, Y., Arkhipov, M. \(2019\). Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language. arXiv preprint [arXiv:1905.07213](https://arxiv.org/abs/1905.07213).
+Normalization model, based on rubert, for linking phrases to their MedDRA concepts.
+See the Demo.ipynb on [our repo](https://github.com/sunny3/MedNorm) to see how it works.