Muti-task learning for NLP with fastai

Does anyone have any experience with multi-task learning for NLP (i.e. predicting multiple labels from a task)? There’s a handy tutorial for vision tasks found here, but that doesn’t cover the tokenization and numericalization aspects of NLP tasks.

Has anyone done anything using multi-task learning for NLP, preferably with HF’s transformers?