Alright thank you.  
I have an other question, don’t know of it’s the right place… For example, in the case of text classification using BERT model (512 tokens max): let’s say that I have a sentence of 1000 tokens, what should I do to tokenize it like BERT want and still being able to classife it later. Should I split it manually in sentences of length <512 ?
For exemple split it in 2 sentences of 500 tokens while duplicate the text classification label of the original sentence?