How do you save and load models in PyTorch?

Updated May 17, 2026

Short answer

Models are saved using state_dict.

Deep explanation

PyTorch saves parameters separately from architecture for flexibility.

Real-world example

Used for deployment and checkpointing.

Common mistakes

Saving entire model instead of state_dict.

Follow-up questions

What is checkpointing?
Can you resume training?

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