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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/integrations/openvino.md
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@ -35,16 +35,16 @@ Export a YOLOv8n model to OpenVINO format and run inference with the exported mo
from ultralytics import YOLO
# Load a YOLOv8n PyTorch model
model = YOLO('yolov8n.pt')
model = YOLO("yolov8n.pt")
# Export the model
model.export(format='openvino') # creates 'yolov8n_openvino_model/'
model.export(format="openvino") # creates 'yolov8n_openvino_model/'
# Load the exported OpenVINO model
ov_model = YOLO('yolov8n_openvino_model/')
ov_model = YOLO("yolov8n_openvino_model/")
# Run inference
results = ov_model('https://ultralytics.com/images/bus.jpg')
results = ov_model("https://ultralytics.com/images/bus.jpg")
```
=== "CLI"
@ -259,10 +259,10 @@ To reproduce the Ultralytics benchmarks above on all export [formats](../modes/e
from ultralytics import YOLO
# Load a YOLOv8n PyTorch model
model = YOLO('yolov8n.pt')
model = YOLO("yolov8n.pt")
# Benchmark YOLOv8n speed and accuracy on the COCO8 dataset for all all export formats
results= model.benchmarks(data='coco8.yaml')
results = model.benchmarks(data="coco8.yaml")
```
=== "CLI"