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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。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
在AI领域，“世界模型”是一个经常被提及的概念。
세상의 구조에 관심이 많습니다. 사람과 돈, 그리고 선택이 만들어내는 장면을 기록합니다. 동아닷컴 팩트라인팀.