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ultralytics 8.0.65 YOLOv8 Pose models (#1347)

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5
docs/tasks/classify.md
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@ -122,7 +122,7 @@ Use a trained YOLOv8n-cls model to run predictions on images.
yolo classify predict model=path/to/best.pt source='https://ultralytics.com/images/bus.jpg' # predict with custom model
```
Read more details of `predict` in our [Predict](https://docs.ultralytics.com/modes/predict/) page.
See full `predict` mode details in the [Predict](https://docs.ultralytics.com/modes/predict/) page.
## Export
@ -150,7 +150,7 @@ Export a YOLOv8n-cls model to a different format like ONNX, CoreML, etc.
```
Available YOLOv8-cls export formats are in the table below. You can predict or validate directly on exported models,
i.e. `yolo predict model=yolov8n-cls.onnx`.
i.e. `yolo predict model=yolov8n-cls.onnx`. Usage examples are shown for your model after export completes.
| Format | `format` Argument | Model | Metadata |
|--------------------------------------------------------------------|-------------------|-------------------------------|----------|
@ -167,3 +167,4 @@ i.e. `yolo predict model=yolov8n-cls.onnx`.
| [TF.js](https://www.tensorflow.org/js) | `tfjs` | `yolov8n-cls_web_model/` | ✅ |
| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n-cls_paddle_model/` | ✅ |
See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.