BPU-Net: a precise grain image segmentation method based on bidirectional skip connections and continuous VI loss

· · 来源:team资讯

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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