The MobileNet model is significantly smaller in size (14MB) than the AlexNet model (233MB); this change should reduce bandwidth used during CI.
This example project demonstrates using the wasi-nn API to perform ML inference. It consists of Rust code that is
built using the wasm32-wasi target. See ci/run-wasi-nn-example.sh for how this is used.