The LarsNet model divides the drums stem into 5 types: 'kick', 'snare', 'cymbals', 'toms', 'hihat'. The model is from this github repository and it was trained on the dataset StemGMD. The model has two operating modes. The first (default) applies the Demucs4 HT model to the track at stage one, which extracts only the drum part from the track. On the second stage, the LarsNet model is used. If your track consists only of drums, then it makes sense to use the second mode, where the LarsNet model is applied directly to the uploaded audio. Unfortunately, subjectively, the quality of separation is inferior in quality to the model DrumSep.