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.
