Transformers.js: State-of-the-art Machine Learning for the web

Опубликовано 11 ноября 2024, 18:01

Join Joshua Lochner from HuggingFace to learn about Transformers.js, an exciting new JavaScript library that empowers developers to build never-before-seen web applications. It is designed to be functionally equivalent to Hugging Face's Python transformers library and supports over 120 architectures across a diverse set of tasks and modalities. Users can choose from over 1,000 pretrained models or convert their own to run locally in the browser, offering privacy-preserving, low-latency, and scalable machine learning. The latest addition of WebGPU support enables highly-performant execution of models by utilizing modern GPU capabilities directly in the browser.

Learn more → goo.gle/48hEBdw

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Speaker: Joshua Lochner
Products mentioned: AI for the web,Google Chrome Browser, Chrome Browser Automation, Chrome Extensions, Chrome, Chrome Web Platform,
Web AI, Web apps, Web Assembly (Wasm), Web Platform in Chrome, WebAssembly for Chrome, WebGPU, CodeGemma, Gemma 2, Gemma,
RecurrentGemma, Generative AI, AI, Google AI, Google AI Edge, Responsible AI, Kaggle Models, LiteRT, MediaPipe Face Detection, MediaPipe Face Mesh,
MediaPipe, MediaPipe Hair Segmentation, MediaPipe Hands, MediaPipe Inference, MediaPipe Iris, MediaPipe Solutions, MediaPipe Object Detection,
MediaPipe Objectron, MediaPipe Pose, TensorFlow, Hugging Face Models