florence2-finetuning
Discover methods to fine-tune Microsoft's Florence-2, a compact yet powerful vision-language model applicable in diverse tasks such as captioning and OCR. This comprehensive guide addresses specific task adaptation like DocVQA and provides insights on installation and training, including single and distributed GPU setups. Understanding model revisions coupled with appropriate datasets can significantly boost performance, positioning Florence-2 as a flexible choice in computer vision and language tasks.
