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Update to lowercase MkDocs admonitions (#15990)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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MatthewNoyce 2024-09-06 16:33:26 +01:00 • committed by GitHub
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6
docs/en/integrations/tf-graphdef.md
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@ -58,7 +58,7 @@ You can convert your YOLOv8 object detection model to the TF GraphDef format, wh
To install the required package, run:
!!! Tip "Installation"
!!! tip "Installation"
=== "CLI"
@ -73,7 +73,7 @@ For detailed instructions and best practices related to the installation process
Before diving into the usage instructions, it's important to note that while all [Ultralytics YOLOv8 models](../models/index.md) are available for exporting, you can ensure that the model you select supports export functionality [here](../modes/export.md).
!!! Example "Usage"
!!! example "Usage"
=== "Python"
@ -131,7 +131,7 @@ For more information on integrating Ultralytics YOLOv8 with other platforms and
Ultralytics YOLOv8 models can be exported to TensorFlow GraphDef (TF GraphDef) format seamlessly. This format provides a serialized, platform-independent representation of the model, ideal for deploying in varied environments like mobile and web. To export a YOLOv8 model to TF GraphDef, follow these steps:
!!! Example "Usage"
!!! example "Usage"
=== "Python"