save pytorch model code example

Example 1: 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.

Example 2: how to save a neural network pytorch

Saving:
	torch.save(model, PATH)


Loading: 
	model = torch.load(PATH)
	model.eval()

Example 3: how to load pretrained model in pytorch

pytorch_model = MNISTClassifier()
pytorch_model.load_state_dict(torch.load(path))
model.eval()

Example 4: pytorch dill model save

import dill

model_copy=dill.dumps(model)
torch.save(model_copy,‘model_ignite_original.pt’)

model1 = torch.load(model_name)
model=dill.loads(model1)