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Update YOLO11 Actions and Docs (#16596)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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docs/en/datasets/classify/cifar100.md
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@ -39,7 +39,7 @@ To train a YOLO model on the CIFAR-100 dataset for 100 [epochs](https://www.ultr
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n-cls.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n-cls.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="cifar100", epochs=100, imgsz=32)
@ -49,7 +49,7 @@ To train a YOLO model on the CIFAR-100 dataset for 100 [epochs](https://www.ultr
```bash
# Start training from a pretrained *.pt model
yolo classify train data=cifar100 model=yolov8n-cls.pt epochs=100 imgsz=32
yolo classify train data=cifar100 model=yolo11n-cls.pt epochs=100 imgsz=32
```
## Sample Images and Annotations
@ -97,7 +97,7 @@ You can train a YOLO model on the CIFAR-100 dataset using either Python or CLI c
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n-cls.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n-cls.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="cifar100", epochs=100, imgsz=32)
@ -107,7 +107,7 @@ You can train a YOLO model on the CIFAR-100 dataset using either Python or CLI c
```bash
# Start training from a pretrained *.pt model
yolo classify train data=cifar100 model=yolov8n-cls.pt epochs=100 imgsz=32
yolo classify train data=cifar100 model=yolo11n-cls.pt epochs=100 imgsz=32
```
For a comprehensive list of available arguments, please refer to the model [Training](../../modes/train.md) page.