How to Use FastViT

FastViT, a Vision Transformer model introduced by Apple in August 2023, excels in image classification due to its ability to identify 1,000 classes from the ImageNet-1k dataset. Known for its impressive speed, FastViT outperforms models like CMT, EfficientNet, and ConvNeXt in latency and accuracy benchmarks on mobile devices. This guide details how to leverage FastViT using the autodistill-fastvit package, which facilitates the setup and execution of the model for image classification tasks. By utilizing this package, users can efficiently label datasets with FastViT and employ its predictions in training new models. The guide also emphasizes the integration of FastViT into the Roboflow platform, which allows for further dataset management and enhancement.