The Hugging Face team detailed how to use the PyTorch Profiler to identify bottlenecks in attention layers. The guide demonstrates pinpointing memory overhead and compute spikes during the forward pass. Developers can now optimize transformer efficiency by visualizing operator execution times. This is a practical tutorial for fine-tuning model performance.