Update README.md

README.md

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 > [!NOTE]
-> This is the organization for official transformers converted checkpoints of Microsoft's Florence model. 
+> This is the organization for official transformers converted checkpoints of Microsoft's Florence model. Try the model itself [here](https://huggingface.co/spaces/gokaygokay/Florence-2). This integration unlocks use of Florence-2 with all the libraries/APIs in Hugging Face ecosystem.
 
 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 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.