Vit

Building TrOCR from scratch: what wiring a vision encoder to a text decoder actually taught me I spent a weekend answering one question end to end: how does a model look at a picture of text and type out the characters? I already knew the NLP Transformer — Q/K/V, multi-head attention, positional encodings — so I didn’t want a tutorial that treats the Vision Transformer as a magic box. I wanted to build the whole thing from scratch in PyTorch: the ViT encoder, the text decoder, and the cross-attention that joins them, aiming eventually at handwritten Devanagari OCR. ...