difference of fine-tuning the pretrained models about passt HOT 2 OPEN

Oh, thank you, thank you very much.

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Hi!
get_model_passt is an alias for the get_model function in passt_hear21 see here.
So in general there should not be a difference between the two functions, they will both return the transformer model. The passt_hear21 repo contains only the models code (including the preprocessing) without the dependecies of saced and PyTorch Lightning.

if num_classes is different then that of the pre-trained models, then the last MLP layer is initilizaed to random (according to the new num_classes`) and the model is ready to be fine-tuned on the new task, that is done in timm here
so both ways are the same. Off-course you can use all the other arguments here.

hear21passt.base.get_basic_model will return a wrapper module that contains both the transformer and the preprocessing mel-spectrograms see here

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