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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/guides/nvidia-jetson.md
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@ -158,16 +158,16 @@ The YOLOv8n model in PyTorch format is converted to TensorRT to run inference wi
from ultralytics import YOLO
# Load a YOLOv8n PyTorch model
model = YOLO('yolov8n.pt')
model = YOLO("yolov8n.pt")
# Export the model
model.export(format='engine') # creates 'yolov8n.engine'
model.export(format="engine") # creates 'yolov8n.engine'
# Load the exported TensorRT model
trt_model = YOLO('yolov8n.engine')
trt_model = YOLO("yolov8n.engine")
# Run inference
results = trt_model('https://ultralytics.com/images/bus.jpg')
results = trt_model("https://ultralytics.com/images/bus.jpg")
```
=== "CLI"
@ -290,10 +290,10 @@ To reproduce the above Ultralytics benchmarks 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', imgsz=640)
results = model.benchmarks(data="coco8.yaml", imgsz=640)
```
=== "CLI"