Image Feature Extraction
timm
PyTorch
Safetensors
pathology
histology
medical imaging
self-supervised learning
vision transformer
foundation model
Instructions to use bioptimus/H0-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use bioptimus/H0-mini with timm:
import timm model = timm.create_model("hf_hub:bioptimus/H0-mini", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Access request
#4
by kantano - opened
Hi, I requested access for this model. Could I please get an approval? Or reasons why not?
Thank you
The authors turned down your access request – they just don't want to open up this repo.
Hi @kantano , thank you for requesting access to H0-mini. We noticed your affiliation with MSD. As of now, access to H0-mini is for academic and non-commercial purposes. Please access H-Optimus-0, or subscribe to H-Optimus-1 through AWS (https://aws.amazon.com/marketplace/pp/prodview-cuad7l27fobx4?sr=0-1&ref_=beagle&applicationId=AWSMPContessa).
ricardo-bioptimus changed discussion status to closed