Add force_reload=True when loading model using torch hub

[developer0hye]

Signed-off-by: Yonghye Kwon developer.0hye@gmail.com

It is related to #6948.

🛠️ PR Summary

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🌟 Summary

Enhanced model reloading in YOLOv5 tutorial notebook.

📊 Key Changes

• The tutorial Jupyter notebook now includes a force_reload parameter when loading the YOLOv5 model with torch.hub.load.

🎯 Purpose & Impact

• Purpose: To ensure that the latest model is always downloaded and loaded, even if a cached version exists.
• Impact: Users will always run inference with the most updated version of YOLOv5, which is especially helpful for newcomers experimenting with the tutorial notebook or for those who need to test recent changes. This minor update promotes best practices in model loading. 🔄🆕

[glenn-jocher]

@developer0hye we've left this off the notebook since notebook environments won't have existing caches, so they'll download new caches by default the first time this cell block is run.

[developer0hye]

@glenn-jocher

Thanks for your feedback!

I faced a problem when I programmed code by referencing this colab code. So I made a PR.

Do you think that it is unnecessary?

[glenn-jocher]

@developer0hye ah ok, sure let's do it then.

[glenn-jocher]

@developer0hye PR is merged. Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐