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I have a table dataset in images, and when I am predicting image-to-LaTeX after training, it is taking a significant amount of time during inference. The second issue is that it is not predicting correctly for table images with row spans and column spans. It is unable to predict complex tables accurately. I am working on image-to-LaTeX predictions. Do you have any solution for complex images? I have tested your demo as well, and it is also taking a significant amount of time, even for simple images.
The model is taking too much time, even for small images. How can I reduce this?
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