histai/hibou-b

Hibou-B - a Foundational Vision Transformer for digital pathology pretrained on a private dataset using DINOv2 framework.

For more information and examples of usage visit https://github.com/HistAI/hibou and read the paper.

Hibou-L is also available at https://huggingface.co/histai/hibou-L.

Basic usage:

from transformers import AutoImageProcessor, AutoModel

processor = AutoImageProcessor.from_pretrained("histai/hibou-b", trust_remote_code=True)
model = AutoModel.from_pretrained("histai/hibou-b", trust_remote_code=True)

We use a customized implementation of the DINOv2 architecture from the transformers library to add support for registers, which requires the trust_remote_code=True flag.