It does not use any transformer models right now. I've made experiments with BERT-adjacent methods, but not found them fast enough to be useful. Basically, whatever approach is used, it needs to do inference at ~10us latencies to either make real-time result filtering viable, or <1ms not add unreasonable overhead to processing-time result labeling.