PyTorch Models: Save & Load Guide

PyTorch models can be saved and loaded using the following methods:

Save model:

# 保存整个模型
torch.save(model, 'model.pth')

# 保存模型的state_dict
torch.save(model.state_dict(), 'model_state_dict.pth')

Load model:

# 加载整个模型
model = torch.load('model.pth')

# 创建模型实例并加载state_dict
model = Model()
model.load_state_dict(torch.load('model_state_dict.pth'))

Note: When loading a model, it is crucial to ensure that the model’s structure matches the one used when it was saved. If only the state_dict was saved, it is necessary to first create an instance of the model before loading the state_dict.