“ With LiteRT.js, web developers can integrate models into their apps written in JavaScript or TypeScript to handle complex tasks like text generation, object detection, and audio processing entirely client-side. As LiteRT.js shares a unified cross-platform stack with LiteRT, your web applications automatically benefit from the latest performance upgrades, quantization improvements, and hardware optimizations developed for Android, iOS, and desktop.
By leveraging LiteRT's lowering flow and runtime, you get simple conversion of models from a variety of Python ML frameworks and native hardware acceleration across all major accelerators (CPU / GPU / NPU). To help you unlock these AI capabilities easily, here are the main highlights of LiteRT.js”
"We understand the transition away from using goo.gl short links may cause some inconvenience." ... Hum, ya ... Non tech people might have made lots of links in legacy internal doc's, email conversations and other reference maternal ... Maybe even a thing called "Paper" ;-)
By leveraging LiteRT's lowering flow and runtime, you get simple conversion of models from a variety of Python ML frameworks and native hardware acceleration across all major accelerators (CPU / GPU / NPU). To help you unlock these AI capabilities easily, here are the main highlights of LiteRT.js”