“对伊拉克经济发展和民生改善作出了显著贡献”
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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The UK's rainfall is strongly influenced by natural variability, but the trend towards wetter winters is in line with predictions from the UK's meteorological organisation.
If this sounds familiar to you, it’s because this method works very similarly to error-diffusion. Instead of letting adjacent pixels compensate for the error, we’re letting each successive candidate compensate for the combined error of all previous candidates.