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Update https://docs.ultralytics.com/models (#6513)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-11-22 20:45:46 +01:00 • committed by GitHub
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docs/en/tasks/classify.md
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@ -40,7 +40,7 @@ YOLOv8 pretrained Classify models are shown here. Detect, Segment and Pose model
Train YOLOv8n-cls on the MNIST160 dataset for 100 epochs at image size 64. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
!!! Example ""
!!! Example
=== "Python"
@ -77,7 +77,7 @@ YOLO classification dataset format can be found in detail in the [Dataset Guide]
Validate trained YOLOv8n-cls model accuracy on the MNIST160 dataset. No argument need to passed as the `model` retains it's training `data` and arguments as model attributes.
!!! Example ""
!!! Example
=== "Python"
@ -104,7 +104,7 @@ Validate trained YOLOv8n-cls model accuracy on the MNIST160 dataset. No argument
Use a trained YOLOv8n-cls model to run predictions on images.
!!! Example ""
!!! Example
=== "Python"
@ -131,7 +131,7 @@ See full `predict` mode details in the [Predict](https://docs.ultralytics.com/mo
Export a YOLOv8n-cls model to a different format like ONNX, CoreML, etc.
!!! Example ""
!!! Example
=== "Python"