We have some other WebGPU demos, including: - WebGPU embedding benchmark: https://huggingface.co/spaces/Xenova/webgpu-embedding-benchmark https://huggingface.c

We have some other WebGPU demos, including: - WebGPU embedding benchmark: https://huggingface.co/spaces/Xenova/webgpu-embedding-benchmark https://huggingface.co/spaces/Xenova/webgpu-embedding-benchm... - Real-time object detection: https://huggingface.co/spaces/Xenova/webgpu-video-object-detection https://huggingface.co/spaces/Xenova/webgpu-video-object-det... - Real-time background removal: https://huggingface.co/spaces/Xenova/webgpu-video-background-removal https://huggingface.co/spaces/Xenova/webgpu-video-background... - WebGPU depth estimation: https://huggingface.co/spaces/Xenova/webgpu-depth-anything https://huggingface.co/spaces/Xenova/webgpu-depth-anything - Image background removal: https://huggingface.co/spaces/Xenova/remove-background-webgpu https://huggingface.co/spaces/Xenova/remove-background-webgp... You can follow the progress for full WebGPU support in the v3 development branch (https://github.com/xenova/transformers.js/pull/545 https://github.com/xenova/transformers.js/pull/545). To answer your question, while there are certain ops missing, the main limitation at the moment is for models with decoders... which are not very fast (yet) due to inefficient buffer reuse and many redundant copies between CPU and GPU. We're working closely with the ORT team to fix these issues though!