---
license: apache-2.0
pipeline_tag: image-feature-extraction
tags:
- medical
- pathology
---

Hibou-L - a Foundational Vision Transformer for digital pathology pretrained on a 1.2B image private dataset using DINOv2 framework.

For more information and examples of usage visit [https://github.com/HistAI/hibou](https://github.com/HistAI/hibou) and read the [paper](https://arxiv.org/abs/2406.05074).

Hibou-B is also available at [https://huggingface.co/histai/hibou-b](https://huggingface.co/histai/hibou-b)

Basic usage:
```python
from transformers import AutoImageProcessor, AutoModel

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