model load pytorch
model = TheModelClass(*args, **kwargs)
model.load_state_dict(torch.load(PATH))
model.eval()model load pytorch
model = TheModelClass(*args, **kwargs)
model.load_state_dict(torch.load(PATH))
model.eval()pytorch save model
Saving:
torch.save(model, PATH)
Loading:
model = torch.load(PATH)
model.eval()
A common PyTorch convention is to save models using either a .pt or .pth file extension.how to save a neural network pytorch
Saving:
torch.save(model, PATH)
Loading:
model = torch.load(PATH)
model.eval()Copyright © 2021 Codeinu
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