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tks for very creative idea of torch pruning,
But my model is exported from pretrained tensorflow model, it's hard to fine tune or re-trained again. So can you give me idea, how can I use torch-prunning with my model. Because I see, after you prune, You need to finetune again model.
I understand that I can convert my tf model to pytorch, than prune model by this lib => I get new model with new architecture, than I can fine tune new model prune-pytorch? right?
Can it's work. Sorry if my question is navie. Tks you
The text was updated successfully, but these errors were encountered:
tks for very creative idea of torch pruning,
But my model is exported from pretrained tensorflow model, it's hard to fine tune or re-trained again. So can you give me idea, how can I use torch-prunning with my model. Because I see, after you prune, You need to finetune again model.
I understand that I can convert my tf model to pytorch, than prune model by this lib => I get new model with new architecture, than I can fine tune new model prune-pytorch? right?
Can it's work. Sorry if my question is navie. Tks you
The text was updated successfully, but these errors were encountered: