Update README.md

README.md

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 BERTweet-FA: A pre-trained language model for Persian (a.k.a Farsi) Tweets
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-BERTweet-FA is a transformer-based model trained on 20665964 Persian tweets. The model has been trained on the data only for 1 epoch (322906 steps), and yet it has the ability to recognize the meaning of most of the conversational sentences used in Farsi. Note that the architecture of this model follows the original BERT.
+BERTweet-FA is a transformer-based model trained on 20665964 Persian tweets. The model has been trained on the data only for 1 epoch (322906 steps), and yet it has the ability to recognize the meaning of most of the conversational sentences used in Farsi. Note that the architecture of this model follows the original BERT [[Devlin et al.](https://arxiv.org/abs/1810.04805)].
 
 How to use the Model
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@@ -42,4 +42,4 @@ Evaluation
 
 Contributors
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-- [Arman Malekzadeh](http://ce.sharif.edu/~malekzaadeh/), PhD Student in AI @ Sharif University of Technology | [Linkedin](https://www.linkedin.com/in/arman-malekzadeh/) | [Github](https://github.com/arm-on)
+- [Arman Malekzadeh](http://ce.sharif.edu/~malekzaadeh/), PhD Student in AI @ Sharif University of Technology [[Linkedin](https://www.linkedin.com/in/arman-malekzadeh/)] [[Github](https://github.com/arm-on)]