You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'd like to save the model. It has a load method, but if i save using model.model.save_pretrained and then use model.load I get:
OSError: Can't load tokenizer for 't5.model'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 't5.model' is the correct path to a directory containing all relevant tokenizer files.
Presumably i have to save the tokenizer too somewhere.... It would be easier if there was a model.save(), clearly it's doing this during training but often i need to stop the model mid epoch to validate it and then manually do a save. Seems odd to have a load but not a save.
Thanks for building this library though, it's very easy to use
The text was updated successfully, but these errors were encountered:
I'd like to save the model. It has a load method, but if i save using model.model.save_pretrained and then use model.load I get:
OSError: Can't load tokenizer for 't5.model'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 't5.model' is the correct path to a directory containing all relevant tokenizer files.
Presumably i have to save the tokenizer too somewhere.... It would be easier if there was a model.save(), clearly it's doing this during training but often i need to stop the model mid epoch to validate it and then manually do a save. Seems odd to have a load but not a save.
Thanks for building this library though, it's very easy to use
The text was updated successfully, but these errors were encountered: