Tutorials

This section contains tutorials teaching key concepts in Stained Glass Core.

• Creating Stained Glass for Image Classification

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  The purpose of this notebook is to demonstrate how to use Stained Glass Engine to train a PyTorch model.

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• Creating a Stained Glass Transform for a Large Language Model

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  This tutorial demonstrates how to train a Stained Glass Transform for an LLM using stainedglass_core and PyTorch Lightning.

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• Deploying Stained Glass Transform (Text)

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  This tutorial demonstrates how to deploy a Stained Glass Transform for client applications. This has three main sections: 1.

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• Deploying Stained Glass Transform for Text with ExecuTorch 📱

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  This tutorial demonstrates how to export a pretrained Stained Glass Transform for Text (SGT4T) to ExecuTorch, producing a quantized .pte file that can run on mobile platforms using the...

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