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ahirner avatar ahirner commented on July 21, 2024 1

You'd get model.statedict()and save it with torch.save(...). Ideally, just save the model if it was of greater accuracy than any epoch before. One approach is to wrap the statedict in an outer dictionary that also contains this value.
Load the statedict with torch.load(...) and then into the model with model.load_state_dict(...). Hope that helps. I might bolt that very necessary feature on one day ;)

from pytorch-retraining.

silakanveli avatar silakanveli commented on July 21, 2024

Sounds good approach. I see this package is already very nice for fine tuning. Would be superb to save models and use those to predict. Nice work!

from pytorch-retraining.

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