First of all, thank you all for this forum, it has been extremely helpful so far!
I am working on a small project to classify German text into 20 or so categories. The text is mostly company descriptions that I have scraped and categorized in industries. It could get between 200-500 chars per description.
In my previous job, we had some tremendous success doing the same with English, so I decided to go with Ulmfit instead of the usual Transformers models.
I guess my question is what is the best way of going here? Should I try and setup Multifit (which right now is not working with the latest fast.ai version, so it needs a little bit of workaround) from here https://github.com/n-waves/multifit
use the already pretrained german language model for ULMFit (https://github.com/jfilter/ulmfit-for-german)
What is your general experience with these two for German language? I understand that Multifit has a slightly different architecture, but I am not right now in the position to setup both and try both, I have to pick up one.
Thank you all for your help!