PyCharm Docs Inspect fixes (#18432)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-12-29 23:19:05 +05:00 committed by GitHub
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@ -168,26 +168,26 @@ To integrate Weights & Biases with Ultralytics YOLO11:
1. Install the required packages:
```bash
pip install -U ultralytics wandb
```
```bash
pip install -U ultralytics wandb
```
2. Log in to your Weights & Biases account:
```python
import wandb
```python
import wandb
wandb.login(key="<API_KEY>")
```
wandb.login(key="<API_KEY>")
```
3. Train your YOLO11 model with W&B logging enabled:
```python
from ultralytics import YOLO
```python
from ultralytics import YOLO
model = YOLO("yolo11n.pt")
model.train(data="coco8.yaml", epochs=5, project="ultralytics", name="yolo11n")
```
model = YOLO("yolo11n.pt")
model.train(data="coco8.yaml", epochs=5, project="ultralytics", name="yolo11n")
```
This will automatically log metrics, hyperparameters, and model artifacts to your W&B project.