The Hugging Face team detailed how to use the PyTorch Profiler to identify bottlenecks in attention mechanisms. They demonstrate specific techniques to isolate memory overhead and compute spikes during the forward pass. This guide provides a practical blueprint for researchers optimizing Transformer architectures. It reduces guesswork when tuning high-latency model layers.