Hi!
I’m curious about AutoNLP and have a question regarding what kind of models AutoNLP uses. e.g. I have a NER task, and from what I got on the documentation of the AutoNLP, - it will do search a best one. But let’s say, I have a domain-specific corpus with specific sets of labels, how it will be working in this case and what kind of model will be used? usual Bert model on NER hugginface pipeline? Is there way to customize a model and settings, e.g. vocabulary?