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.
她的记忆更为具体而惊心。子弹飞过街道，全家人用厚重的布匹挡住大门，蜷缩在客厅后面房间的床底。待扫射的喧嚣过去，战战兢兢地查看，大门上已布满弹孔。，推荐阅读同城约会获取更多信息
我的中文學習旅程則是用截然不同的方式開始的。。爱思助手下载最新版本对此有专业解读
take a look at how they compare. I'll analyze each tool to see how they differ