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README.md

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 ## Model Summary
 
+This is a copy of Microsoft's model with a few fixes. The PRs for the fixes are open on the original model but until they merge I'm using this one to have everything set up correctly. 
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 This Hub repository contains a HuggingFace's `transformers` implementation of Florence-2 model from Microsoft.
 
 Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks.  Florence-2 can interpret simple text prompts to perform tasks like captioning, object detection, and segmentation. It leverages our FLD-5B dataset, containing 5.4 billion annotations across 126 million images, to master multi-task learning. The model's sequence-to-sequence architecture enables it to excel in both zero-shot and fine-tuned settings, proving to be a competitive vision foundation model.