"tengu_keybinding_customization": false,
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国家级非物质文化遗产代表性传承人张廷旭，戴着老花镜，拇指死死抵住刻刀，在坚硬的木质纹理间游走。刀锋过处，木屑卷起，线条流畅如水。。关于这个话题，快连下载安装提供了深入分析
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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