Notiz
Zougrëff op dës Säit erfuerdert Autorisatioun. Dir kënnt probéieren, Iech unzemellen oder Verzeechnesser ze änneren.
Zougrëff op dës Säit erfuerdert Autorisatioun. Dir kënnt probéieren, Verzeechnesser ze änneren.
Windows ML CLI is a command-line tool for building portable, performant, and high-quality AI models for Windows ML. You can start from a source model on Hugging Face or from your own pipeline, then produce a hardware-optimized artifact in a reproducible workflow.
Windows ML CLI handles conversion, graph optimization, and compilation across AMD, Intel, NVIDIA, and Qualcomm targets. You can also use it in CI/CD pipelines to validate models and prepare them for release.
What you can do
- Build once, run across hardware - Use primitive commands such as
export,analyze,optimize,quantize, andcompile, or usewinml buildto generate a workflow that produces portable models for Windows hardware. - Inspect each stage - Review operator compatibility, shape mismatches, graph optimizations, and execution-provider-aware tuning throughout the pipeline.
- Automate model preparation - Integrate CLI-driven workflows with your existing build and release automation.
What you get out of the box
- Windows ML execution provider support - Use the same commands across supported execution providers.
- Curated model catalog - Start from a verified list of supported models that run across Windows ML execution providers.
- Bring your own ONNX model - Analyze and optimize an existing ONNX model, even if you did not convert it from PyTorch.