[P] Backprop: a library to easily finetune and use state-of-the-art models

I'd like to share Backprop, a Python library I've been co-authoring for the last few months. Our goal is to make finetuning and using models as easy as possible, even without extensive ML experience. We've currently got support for text and image-based tasks, with wrappers around models like Google's T5, OpenAI's CLIP, and Facebook's BART, among others. Once you've got your training data, you can just import your model/task, and then finetune with a single line of code. We've also got some features that make deployment for production easy, but for full transparency, deployment is through a paid platform we've developed that is by no means necessary to use the library.