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Configuration objects inherit from PretrainedConfig and can be employed to manage the model outputs. go through the functioning on byte-sized tokens, transformers scale badly as every token have to "attend" to every other token leading to O(n2) scaling rules, Therefore, Transformers opt to use subword tokenization to reduce the quantity of tokens

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