Update README.md

README.md

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 - text: "Chili Jensen, som bor på Danmarksgade 12, køber chilifrugter fra Netto."
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-# Danish BERT (version 2, uncased) by [BotXO.ai](https://www.botxo.ai/) finetuned for Named Entity Recognition on the [DaNE dataset](https://danlp.alexandra.dk/304bd159d5de/datasets/ddt.zip) (Hvingelby et al., 2020) by Malte Højmark-Bertelsen.
+# Danish BERT (version 2, uncased) by [Certainly](https://certainly.io/) (previously known as BotXO) finetuned for Named Entity Recognition on the [DaNE dataset](https://danlp.alexandra.dk/304bd159d5de/datasets/ddt.zip) (Hvingelby et al., 2020) by Malte Højmark-Bertelsen.
 
-All credit goes to [BotXO.ai](https://www.botxo.ai/) who developed Danish BERT. For data and training details see their [GitHub repository](https://github.com/botxo/nordic_bert) or [this article](https://www.botxo.ai/en/blog/danish-bert-model/).  
+Humongous amounts of credit needs to go to [Certainly](https://certainly.io/) (previously known as BotXO), for pretraining the Danish BERT. For data and training details see their [GitHub repository](https://github.com/certainlyio/nordic_bert) or [this article](https://www.certainly.io/blog/danish-bert-model/). You can also visit their [organization page](https://huggingface.co/Certainly) on Hugging Face.
 
 It is both available in TensorFlow and Pytorch format. 
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 The original TensorFlow version can be downloaded using [this link](https://www.dropbox.com/s/19cjaoqvv2jicq9/danish_bert_uncased_v2.zip?dl=1).
 
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 Here is an example on how to load Danish BERT for token classification in PyTorch using the [🤗Transformers](https://github.com/huggingface/transformers) library: