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This session presents a comprehensive engineering roadmap for running Hugging Face Transformers entirely locally in your web browser using Transformers.js. We will explore the end-to-end pipeline required to export, optimize, and deploy PyTorch models to the web, leveraging emerging web technologies like WebGPU for efficient, cross-platform inference.
We will dive into the technical nuances of converting PyTorch models to ONNX using torch.export (Dynamo) and applying runtime-specific optimizations via ONNX Runtime GenAI. This workflow enables the production of highly efficient, quantized model artifacts suitable for browser-based execution. Finally, we will demonstrate how to deploy these optimized models using Transformers.js to create performant, interactive, and visually stunning WebAI experiences.
