I built an open SotA image tagging model to do what CLIP won't

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I'm a hobbyist ML researcher and finally, after a year of work, built a state of the art machine vision model from scratch. It's ViT-B/16 based, 448x448x3 input, 91M parameters, trained for 660M samples, with multi-label classification as the target task, on over 5000 unique tags.

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