Provides a reference implementation and Hugging Face-compatible model classes optimized for running transformers on Apple Neural Engine (ANE) chips in A14/M1 and newer devices. Achieves up to 10x latency improvement and 14x lower peak memory by structuring computations to match ANE hardware constraints. Includes a tutorial for deploying DistilBERT models on iOS devices.