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twinify currently stores learned model parameters after each run. A natural next step would be to add a mode that allows to load stored parameters to sample synthetic data without re-running training.
The text was updated successfully, but these errors were encountered:
twinify currently stores learned model parameters after each run. A natural next step would be to add a mode that allows to load stored parameters to sample synthetic data without re-running training.
The text was updated successfully, but these errors were encountered: