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Merge pull request #1900 from pareenaverma/uvision-review
Uvision review
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content/learning-paths/laptops-and-desktops/win_python_onnx/_index.md

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---
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title: How to Use ONNX Runtime with Windows on Arm
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draft: true
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cascade:
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draft: true
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minutes_to_complete: 30
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who_is_this_for: This is an introductory topic for developers who are interested in ONNX.
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who_is_this_for: This is an introductory topic for developers who are interested in running ONNX models on Windows on Arm devices.
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learning_objectives:
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- Use pre-trained ONNX model for inference
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- Leverage native Arm64 for Python applications
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- Use a pre-trained ONNX model for inference on a Windows on Arm machine.
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- Leverage native Arm64 support for Python applications running on a Windows on Arm device.
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prerequisites:
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- A Windows on Arm computer such as the Lenovo Thinkpad X13s running Windows 11 or a Windows on Arm [virtual machine](/learning-paths/cross-platform/woa_azure/).
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- Any code editor, we recommend using [Visual Studio Code for Arm64](https://code.visualstudio.com/docs/?dv=win32arm64user).
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- Any code editor like [Visual Studio Code for Arm64](https://code.visualstudio.com/docs/?dv=win32arm64user).
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author: Dawid Borycki
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subjects: Migration to Arm
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armips:
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- Cortex-A
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- Cortex-X
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operatingsystems:
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- Windows
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tools_software_languages:

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