ultralytics 8.0.211 README language links (#6370)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
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@ -77,7 +77,7 @@ Train a detection model for 10 epochs with an initial learning_rate of 0.01:
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yolo train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
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```
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You can find more [instructions to use the Ultralytics CLI here](https://docs.ultralytics.com/quickstart/#use-ultralytics-with-cli).
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You can find more [instructions to use the Ultralytics CLI here](../quickstart.md#use-ultralytics-with-cli).
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## Quickstart from a Notebook
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@ -114,7 +114,7 @@ pip install onnx>=1.12.0
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Note that we need to use the `source activate yolov8env` for all the %%bash cells, to make sure that the %%bash cell uses environment we want.
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Run some predictions using the [Ultralytics CLI](https://docs.ultralytics.com/quickstart/#use-ultralytics-with-cli):
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Run some predictions using the [Ultralytics CLI](../quickstart.md#use-ultralytics-with-cli):
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```bash
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%%bash
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@ -122,7 +122,7 @@ source activate yolov8env
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yolo predict model=yolov8n.pt source='https://ultralytics.com/images/bus.jpg'
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```
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Or with the [Ultralytics Python interface](https://docs.ultralytics.com/quickstart/#use-ultralytics-with-python), for example to train the model:
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Or with the [Ultralytics Python interface](../quickstart.md#use-ultralytics-with-python), for example to train the model:
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```python
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from ultralytics import YOLO
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