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Google has released a BERT based model for India called as MuRIL (Multilingual Representations for Indian Languages). In this video, I'll experiment with the newly released model released on TFHub. Google has trained MuRIL using its existing language learning model called Bidirectional Encoder Representations from Transformers (BERT) which it uses to parse almost all the English queries on its search engine. TFHub Video : • Introduction to TensorFlow Hub (TFHub) Link to the notebook : https://github.com/bhattbhavesh91/MuR... Join this channel to get access to perks: / @bhattbhavesh91 If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: Blog - http://bhattbhavesh91.github.io Twitter - / _bhaveshbhatt GitHub - https://github.com/bhattbhavesh91 Medium - / bhattbhavesh91 #Muril #Google