Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
over the grid returs the Axes. ax.set_yticks(range(len(out))) ax.set_xticks(range(len(sentence))) ax.xaxis.set_label_position('top') ax.set_xticklabels(iter(sentence)) ax.set_yticklabels([f"step {i}" for i in range(len(out))]) ax.imshow(images) image from author We can clearly see that the model