"Any day in his life can turn out like that," he said. "It can be good bits, and then it can be awful bits and aggressive bits and upsetting bits. And that's just what the Tourette's does. It's nasty."
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The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
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