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README.md

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+license: mit
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 # <a name="introduction"></a> BERTweet: A pre-trained language model for English Tweets 
 
 BERTweet is the first public large-scale language model pre-trained for English Tweets. BERTweet is trained based on the [RoBERTa](https://github.com/pytorch/fairseq/blob/master/examples/roberta/README.md)  pre-training procedure. The corpus used to pre-train BERTweet consists of 850M English Tweets (16B word tokens ~ 80GB), containing 845M Tweets streamed from 01/2012 to 08/2019 and 5M Tweets related to the **COVID-19** pandemic. The general architecture and experimental results of BERTweet can be found in our [paper](https://aclanthology.org/2020.emnlp-demos.2/):
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 **Please CITE** our paper when BERTweet is used to help produce published results or is incorporated into other software.
 
-For further information or requests, please go to [BERTweet's homepage](https://github.com/VinAIResearch/BERTweet)!
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+For further information or requests, please go to [BERTweet's homepage](https://github.com/VinAIResearch/BERTweet)!