From the very beginning, we built the library in a way it can work with both -- CV and NLP. But right now there are only CV-related examples since it's our main focus. Generally, you only need to implement your own dataset returning encoding texts and a model knowing how to deal with that. We gonna add such an example in the future (seems like it will be similar to the content under your link).