Saving and Loading Models in PyTorch: state_dict, Checkpoints and Resuming Training
A trained model is saved for one of two reasons. The first is to use it later for predictions, which needs only the model's weights. The second is to continue training later, after a crash, a disconnected notebook or a planned stop, which needs the weights and also the optimizer's internal state. T…
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- 2026-11-04 08:54 · DEV Community — Machine Learning
Saving and Loading Models in PyTorch: state_dict, Checkpoints and Resuming Training
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