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I have custom trained a model and used the save_state_dict argument in the Trainer Function.
So I have folders of different checkpoints generated by the Trainer. But how to use a saved checkpoint for model inference?
Do I need to pass the name of my checkpoint folder to the checkpoint argument of the get_aspect_extractor() method?
Or how does it work?
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Hello,
can someone explain me how to do:
I have custom trained a model and used the save_state_dict argument in the Trainer Function.
So I have folders of different checkpoints generated by the Trainer. But how to use a saved checkpoint for model inference?
Do I need to pass the name of my checkpoint folder to the checkpoint argument of the get_aspect_extractor() method?
Or how does it work?
Thank you in advance
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