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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△采用中科第五纪“具身大脑”的宇树机器人正在展示工业场景的搬运工作,图片:采访人提供