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
Pending Access Request for H-optimus-1
#10
by azfaar - opened
I am writing this to formally request access to this model. I am using my institution email and my teams purpose is to test this model against other foundation models for our specific research application of MSIH classification using weakly labeled WSI data.
Thank you for your time and consideration, I am looking forward to be able to compare this model and use it in my research.
Dear Azfaar, I've just granted you access to the model. Please feel free to re-open this issue if you encounter any problem.
Best
checkpt9 changed discussion status to closed