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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但杨植麟并没有动摇，其提出要集中资源投入基础算法与新模型 K2，不再追逐“烧钱换用户”，而是试图用“技术换用户”。
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