Hello!
I’ve been working with MobilenetV2 4 model and noticed that there is a pretrained version for it in
model_urls = {
    'mobilenet_v2': 'https://download.pytorch.org/models/mobilenet_v2-b0353104.pth',
}

and it works great!
Now I want to train 0.35 depth, I was able to create model passing width_mult=0.35,  as **kwargs . It works.
But when I try to create it with pretrained=True it crashes on size mismatch from checkpoint and model.
I found some pre-trained models 4 with needed depth multiplier, but I’d like so guidance how to load them to instance of torchvision model.
If you guide me - would be happy to implement loading of this model it torch code, but first of all I need to find matching 0.35 weights.
Thank you for any recommendations.