Tutorials

Tutorials are linear, prescriptive, end-to-end walkthroughs that guide you through building something concrete with winml-cli. Each tutorial moves in one direction—start to finish—so you can follow along without making decisions. If you need to understand the reasoning behind a feature, see the Concepts section (the why and when). If you need a quick reference for a specific command, see Commands (the what). Tutorials sit alongside Samples, which are reference-style demos that compare multiple approaches side by side rather than walking through a single path.

Available tutorials

Tutorial	What you'll build	Hardware
Hugging Face Model to NPU	A quantized ConvNeXt image classifier compiled for Snapdragon NPU (with CPU/DirectML fallback)	Copilot+PC NPU primary; CPU works as fallback
Bring Your Own ONNX Model	Optimize and deploy an ONNX file you already have, using the analyze → optimize → re-analyze feedback loop	Any (CPU, NPU, GPU)

More tutorials are coming, covering additional model families, execution providers, and deployment scenarios. Check back as the winml-cli documentation expands.