def load(cls, path: Union[str, IO]) -> 'TorchModel':
with open_file(path, 'rb') as infile:
state = pickle.load(infile)
model = cls.__new__(cls)
model.__setstate__(state)
return model
# for using pickle.dump/load directly
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