# Image-to-text conversion

A quantized version of the image-to-text model based on Gemma 3 4B, aiming to make knowledge accessible to the public

Granite Vision 3.2 2B is a vision-language model developed by IBM, focusing on image-to-text tasks.

A LoRA-adapted vision-language model based on Llama-3.2-11B-Vision-Instruct, capable of transcribing Thai handwritten text from images.

Document classification model based on the Donut framework, trained on a small-scale RVL-CDIP dataset

A large-scale vision-language model based on the Pix2Struct architecture, fine-tuned specifically for generating UI interface function descriptions

This model converts images into Portuguese descriptions, trained on ViT and GPT2 architectures.