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Fix Prettier docs issues (#17798)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-11-26 10:58:49 +01:00 • committed by GitHub
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docs/en/models/yolo-nas.md
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@ -149,7 +149,8 @@ YOLO-NAS introduces several key features that make it a superior choice for obje
- **Quantization-Friendly Basic Block:** Enhanced architecture that improves model performance with minimal [precision](https://www.ultralytics.com/glossary/precision) drop post quantization.
- **Sophisticated Training and Quantization:** Employs advanced training schemes and post-training quantization techniques.
- **AutoNAC Optimization and Pre-training:** Utilizes AutoNAC optimization and is pre-trained on prominent datasets like COCO, Objects365, and Roboflow 100.
These features contribute to its high accuracy, efficient performance, and suitability for deployment in production environments. Learn more in the [Key Features](#key-features) section.
These features contribute to its high accuracy, efficient performance, and suitability for deployment in production environments. Learn more in the [Key Features](#key-features) section.
### Which tasks and modes are supported by YOLO-NAS models?