[MODEL REQUEST] Florence-2

[EwoutH]

Details of model being requested

• Model name: Florence-2
• Source repo link: https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de
• Research paper link: https://arxiv.org/abs/2311.06242
• Model use case: Florence-2 is an advanced vision foundation model designed for a wide range of vision and vision-language tasks. Utilizing a prompt-based approach, Florence-2 excels in image captioning, object detection, and segmentation. Its sequence-to-sequence architecture enables high performance in both zero-shot and fine-tuned settings. The model is trained on the extensive FLD-5B dataset, which includes 5.4 billion annotations across 126 million images, making it highly effective for multi-task learning.

Model Variants

Model	Model size	Model Description
Florence-2-base	0.23B	Pretrained model with FLD-5B
Florence-2-large	0.77B	Pretrained model with FLD-5B
Florence-2-base-ft	0.23B	Finetuned model on a collection of downstream tasks
Florence-2-large-ft	0.77B	Finetuned model on a collection of downstream tasks

Online demo: https://huggingface.co/spaces/gokaygokay/Florence-2

[mestrona-3]

Hi @EwoutH, thank you for the feature request and details! I've added it to our list of requested models.

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