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This repository has been archived by the owner on Apr 3, 2023. It is now read-only.
We have successfully run the docker containers but we don't know how to load pre-trained weights
encoder = torch.load('model_weights/encoder_resnet34_0.061650436371564865.pt')
decoder = torch.load('model_weights/decoder_resnet34_0.061650436371564865.pt')
what is use of this and where to insert it??
The text was updated successfully, but these errors were encountered:
We have successfully run the docker containers but we don't know how to load pre-trained weights
encoder = torch.load('model_weights/encoder_resnet34_0.061650436371564865.pt')
decoder = torch.load('model_weights/decoder_resnet34_0.061650436371564865.pt')
what is use of this and where to insert it??
They're used if u cannot train the model on your own. Insert them in your code after builiding the model and just before starting the training phase.
We have successfully run the docker containers but we don't know how to load pre-trained weights
encoder = torch.load('model_weights/encoder_resnet34_0.061650436371564865.pt')
decoder = torch.load('model_weights/decoder_resnet34_0.061650436371564865.pt')
what is use of this and where to insert it??
The text was updated successfully, but these errors were encountered: