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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AI could prove as transformative as its most optimistic backers are predicting.
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“一年一条路！”细数成果，通北示范区执委会二处处长冯国祥说。畅通的不仅是通勤路，更是协同路。