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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多年前,克林頓和愛潑斯坦的聯繫已為外界所知。克林頓此前聲稱,他和愛潑斯坦的關係是因自己卸任總統後致力於慈善工作而建立的。,推荐阅读91视频获取更多信息
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