i finetuned BiT-R50 and save like bit.pth.tar
torch.save({
"step": step,
"model": model.state_dict(),
"optim" : optim.state_dict(),
}, savename)
but i can't use it for test like
checkpoint = torch.load(f'/srv/data/datasets/kyuhong/big_transfer/bit_logs/products/bit.pth.tar')
self.model.load_state_dict(checkpoint['model'])
i finetuned BiT-R50 and save like bit.pth.tar torch.save({ "step": step, "model": model.state_dict(), "optim" : optim.state_dict(), }, savename)
but i can't use it for test like checkpoint = torch.load(f'/srv/data/datasets/kyuhong/big_transfer/bit_logs/products/bit.pth.tar') self.model.load_state_dict(checkpoint['model'])
how can i use my custom trained model