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Configuration objects inherit from PretrainedConfig and can be employed to manage the model outputs. go through the running on byte-sized tokens, transformers scale inadequately as every single token must "go to" to every other token bringing about O(n2) scaling laws, Because of this, Transformers prefer to use subword tokenization to lessen the q

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