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Fix inaccurate example in Export docs (#17161)

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Mohammed Yasin 2024-10-25 19:48:28 +08:00 • committed by GitHub
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docs/en/modes/export.md
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@ -136,13 +136,13 @@ INT8 quantization is an excellent way to compress the model and speed up inferen
from ultralytics import YOLO from ultralytics import YOLO
model = YOLO("yolo11n.pt") # Load a model model = YOLO("yolo11n.pt") # Load a model
model.export(format="onnx", int8=True) model.export(format="engine", int8=True)
``` ```
=== "CLI" === "CLI"
```bash ```bash
yolo export model=yolo11n.pt format=onnx int8=True # export model with INT8 quantization yolo export model=yolo11n.pt format=engine int8=True # export TensorRT model with INT8 quantization
``` ```
INT8 quantization can be applied to various formats, such as TensorRT and CoreML. More details can be found in the [Export section](../modes/export.md). INT8 quantization can be applied to various formats, such as TensorRT and CoreML. More details can be found in the [Export section](../modes/export.md).