Minor Issue: The notebook tutorial is using the wrong model (yolov11s instead of RF-DETR)

Search before asking

• I have searched the Roboflow Notebooks issues and found no similar bug report.

Notebook name

https://github.com/roboflow/notebooks/blob/main/notebooks/basketball-ai-how-to-detect-track-and-identify-basketball-players.ipynb

Bug

I wanted to play around with RF-DETR in this tutorial and trying your inference library to get the model from roboflow universe then I realized
"basketball-player-detection-3-ycjdo/4" corresponds to a yolov11s and YOLOv11ObjectDetection class
It should change to
"basketball-player-detection-3-ycjdo/13" which corresponds to a rfdetr-medium

Since the links to downloadable models can change and get outdated I suggest adding your prefered method to verify the model is actually RF-DETR architecture.
I currently do print(f"Architecture Handler: {model.__class__.__name__}") to verify my architecture, but it doesn't say which version of the model is being used (S/M/X/XL).
Is there a way to do this in code without having to peek the inference cache meta-data (model_type.json) or browsing the webpage to see which number corresponds to which model?

Environment

• It's irrelavant here but here you go:
• Local
• Python 3.11.9
• Windows11

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

Open notebooks/basketball-ai-how-to-detect-track-and-identify-basketball-players.ipynb and locate the model identifier and YOLOv11ObjectDetection references. Update the tutorial to use basketball-player-detection-3-ycjdo/13 and the corresponding RF-DETR model, then run the affected notebook cells to confirm the tutorial loads the intended architecture. The architecture-version verification question remains additional scope.