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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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docs/en/yolov5/environments/azureml_quickstart_tutorial.md
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@ -22,13 +22,13 @@ You need an [AzureML workspace](https://learn.microsoft.com/azure/machine-learni
From your AzureML workspace, select Compute > Compute instances > New, select the instance with the resources you need.
<img width="1741" alt="create-compute-arrow" src="https://github.com/ouphi/ultralytics/assets/17216799/3e92fcc0-a08e-41a4-af81-d289cfe3b8f2">
<img width="1741" alt="create-compute-arrow" src="https://github.com/ultralytics/docs/releases/download/0/create-compute-arrow.avif">
## Open a Terminal
Now from the Notebooks view, open a Terminal and select your compute.
![open-terminal-arrow](https://github.com/ouphi/ultralytics/assets/17216799/c4697143-7234-4a04-89ea-9084ed9c6312)
![open-terminal-arrow](https://github.com/ultralytics/docs/releases/download/0/open-terminal-arrow.avif)
## Setup and run YOLOv5