Hi r/MachineLearning,

I wrote a blog post that I hope could be the gentlest way for you to start playing with BERT for the first time;

https://jalammar.github.io/a-visual-guide-to-using-bert-for-the-first-time/

It uses a lighter version of BERT (the distilled version from HuggingFace, distilBERT) to do sentence embedding, then uses Scikit Learn for Linear Regression classification. As a first exposure to BERT, I’m having people use the general trained model and not worry about fine-tuning for now. After getting people through this initial hump, I’m hoping readers would get more comfortable doing more exploration and poking around with the model and its usecases.

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I hope you enjoy it. All feedback/corrections are appreciated.