Lightning/Transformers tutorial contribution?
First off, thank you for your hard work on this package! It's proven to be very helpful for fully leveraging multi-GPU training of large-scale language models.

Is your feature request related to a problem? Please describe.
I'm using the (also incredible) transformers package by the folks at HuggingFace to do a number of tasks, including text classification. I realized that training these models can be quite computationally expensive, even on decently-sized single-GPU instances. I found out about this repo and was (with relative ease) able to train the same model over 4 GPUs and 16-bit precision much, much more easily than training with vanilla PyTorch.
I was wondering if there was any interest in a contributed tutorial that specifically goes through the process of integrating pytorch-lightning with transformers, which seems to have quite a bit of staying power and success within the realm of applied NLP. Regardless, thanks again!
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