Image Feature Extraction
timm
PyTorch
Safetensors
pathology
histology
medical imaging
self-supervised learning
vision transformer
foundation model
Instructions to use bioptimus/H-optimus-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use bioptimus/H-optimus-1 with timm:
import timm model = timm.create_model("hf_hub:bioptimus/H-optimus-1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Request for Access
#13
by phhh - opened
I am writing to formally request access to bioptimus/H-optimus-1. I’m reaching out from my institutional email because my team intends to use this model as a benchmark to compare with other models. This evaluation will be conducted strictly for academic research purposes.
Looking forward to your reply and wishing your team all the best.
Hi @phhh , thanks for the follow-up. Our licensing is directed only for research purposes. You should have received an email to discuss licensing for commercial uses. If not, please contact julie.gerardi@bioptimus.com. Thanks.
ricardo-bioptimus changed discussion status to closed