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What is the best practice to increase the number of tags of an existing model without retraining the whole model again?
What is the best practice to increase the number of tags of an existing model without retraining the whole model again? Possible solutions like freezing layers or train a seperate model for each batch of new tags? So if we freeze the layers what approach you suggest to freeze which layers and how?