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.
Our almost-instinct almost true:
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(一)故意散布谣言,谎报险情、疫情、灾情、警情或者以其他方法故意扰乱公共秩序的;
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愿你们的好奇心,成为这段旅程的燃料。愿它为你们带来源源不断的探索、激动与满足。
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