Approaches for Training Models on Binary Categories with Sub-Categories

Hello folks, trying to train a model on binary categories which itself comprise of multiple sub-categories, any ideas on what type of approach could work well for such top-level classification? Also, are there ways to filter/clean these larger binary datasets where each category consisting of multiple categories, think of Priority vs Other classification where within priority & other, they could be many sub-categories?