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.
随着 Netflix 退出，华纳的最终归属将取决于监管审查及股东投票。若派拉蒙最终成功，这将成为近年来规模最大、影响最深远的媒体并购案之一。
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Increasing automation of cash reflects the changing nature of banking: decades，这一点在搜狗输入法2026中也有详细论述
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