I’m working on the CLEF dataset for a research project, which contains ~480 users’ posts, each user has a varied range of posts (text) starting from 10 to 2000, and each user has an associated binary label 0/1 (whether the user is depressed).
So, basically, I’ve to take all the posts of a user and classify the label of the user.
I’m thinking about how to go about solving this problem with HF transformers (BERT or something maybe), if anyone has any suggestions or pointers (notebook, etc.), please share, would be really helpful. Thanks 
also would like to cc: @lewtun and @sgugger