Open deguodedongxi opened 2 weeks ago
Hey @deguodedongxi, you should simply copy the config.json
and generation_config.json
to the checkpoint folder you want, then you can load the model using the checkpoint folder path as your model name! let me know if that helps
Hey everyone,
I am trying to fine-tune a model. I ran into overfitting after some training. Now I want to save a previous checkpoint as my model. As far is a can see, you are using safetensor models when using the "ParlerTTSForConditionalGeneration.from_pretrained()" method.
I cannot find an easy way how to load and save a checkpoint without starting a new training. Do you have any suggestions?
Thank you :)