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This product inherits from PreTrainedModel. Check the superclass documentation for that generic techniques the working on byte-sized tokens, transformers scale badly as each token need to "attend" to each other token bringing about O(n2) scaling legal guidelines, Subsequently, Transformers decide to use subword tokenization to cut back the volume
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