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Reformat Markdown code blocks (#12795)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-05-18 18:58:06 +02:00 • committed by GitHub
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12
docs/en/datasets/classify/imagenette.md
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@ -37,10 +37,10 @@ To train a model on the ImageNette dataset for 100 epochs with a standard image
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
model = YOLO("yolov8n-cls.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data='imagenette', epochs=100, imgsz=224)
results = model.train(data="imagenette", epochs=100, imgsz=224)
```
=== "CLI"
@ -72,10 +72,10 @@ To use these datasets, simply replace 'imagenette' with 'imagenette160' or 'imag
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
model = YOLO("yolov8n-cls.pt") # load a pretrained model (recommended for training)
# Train the model with ImageNette160
results = model.train(data='imagenette160', epochs=100, imgsz=160)
results = model.train(data="imagenette160", epochs=100, imgsz=160)
```
=== "CLI"
@ -93,10 +93,10 @@ To use these datasets, simply replace 'imagenette' with 'imagenette160' or 'imag
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
model = YOLO("yolov8n-cls.pt") # load a pretrained model (recommended for training)
# Train the model with ImageNette320
results = model.train(data='imagenette320', epochs=100, imgsz=320)
results = model.train(data="imagenette320", epochs=100, imgsz=320)
```
=== "CLI"