run.py train or load trained model

Hello,

Regarding the text-classification project :

Since some large models could take hours to train, do we have to give an option to train the model in run.py, or is loading a trained model sufficient ?

Best regards

I would as well be interested in this answer for the road-segmentation project.

Also, even if we want to "simply" import the trained model in run.py, we have a problem because the model doesn't fit on git (600Mo - 1Go). How can we do ? Also, if we try a lot of different embeddings, the total size of our repo becomes very big.

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