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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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8
docs/en/models/yolov10.md
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@ -140,7 +140,7 @@ Here is a detailed comparison of YOLOv10 variants with other state-of-the-art mo
For predicting new images with YOLOv10:
!!! Example
!!! example
=== "Python"
@ -166,7 +166,7 @@ For predicting new images with YOLOv10:
For training YOLOv10 on a custom dataset:
!!! Example
!!! example
=== "Python"
@ -225,7 +225,7 @@ YOLOv10 sets a new standard in real-time object detection by addressing the shor
We would like to acknowledge the YOLOv10 authors from [Tsinghua University](https://www.tsinghua.edu.cn/en/) for their extensive research and significant contributions to the [Ultralytics](https://www.ultralytics.com/) framework:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -252,7 +252,7 @@ YOLOv10, developed by researchers at [Tsinghua University](https://www.tsinghua.
For easy inference, you can use the Ultralytics YOLO Python library or the command line interface (CLI). Below are examples of predicting new images using YOLOv10:
!!! Example
!!! example
=== "Python"