Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
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One law professor told the BBC that "the nature of the [Crawford] contract was peculiar", and that because of the "significant uncertainty" at the time it was drawn up, they would have expected to see a shorter one that had a cap on the number of claims processed.。关于这个话题，同城约会提供了深入分析
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