Update README.md

README.md

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 # BERT base uncased model pre-trained on 5 NER datasets
 
-Model was trained by [SberIDP](https://github.com)
+Model was trained by SberIDP.
 * Task: `NER`
 * Training Data is 5 datasets: CoNLL-2003, WNUT17, JNLPBA, CoNLL-2012 (OntoNotes), BTC
 
 
 The model is described [in this article](https://habr.com/ru/company/sberbank/blog/).
 
-It is pretrained for NER task using [Reptile](https://openai.com/blog/reptile/) and can be finetuned for new entities with only a small amount of samples.
-
+It is pretrained for NER task using [Reptile](https://openai.com/blog/reptile/) and can be finetuned for new entities with only a small amount of samples.