Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models
This blog post by Hugging Face demonstrates how to fine-tune Microsoft's Florence-2 vision-language model on the DocVQA dataset, showing that after fine-tuning the Levenshtein similarity score improved from 0 to 57.0. The post includes code walkthroughs and links to a demo space and GitHub repository.
