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:
yolo train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
```
You can find more [instructions to use the Ultralytics CLI here](https://docs.ultralytics.com/quickstart/#use-ultralytics-with-cli).
You can find more [instructions to use the Ultralytics CLI here](../quickstart.md#use-ultralytics-with-cli).
## Quickstart from a Notebook
@ -114,7 +114,7 @@ pip install onnx>=1.12.0
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.
Run some predictions using the [Ultralytics CLI](https://docs.ultralytics.com/quickstart/#use-ultralytics-with-cli):
Run some predictions using the [Ultralytics CLI](../quickstart.md#use-ultralytics-with-cli):
```bash
%%bash
@ -122,7 +122,7 @@ source activate yolov8env
yolo predict model=yolov8n.pt source='https://ultralytics.com/images/bus.jpg'
```
Or with the [Ultralytics Python interface](https://docs.ultralytics.com/quickstart/#use-ultralytics-with-python), for example to train the model:
Or with the [Ultralytics Python interface](../quickstart.md#use-ultralytics-with-python), for example to train the model:
```python
from ultralytics import YOLO