Image Feature Extraction
timm
PyTorch
pathology
histology
medical imaging
self-supervised learning
vision transformer
foundation model
Instructions to use bioptimus/H-optimus-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use bioptimus/H-optimus-0 with timm:
import timm model = timm.create_model("hf_hub:bioptimus/H-optimus-0", pretrained=True) - Notebooks
- Google Colab
- Kaggle
How many patches were used to train H-Optimus-0?
#3
by guillaumejaume - opened
Dear authors,
I'm preparing the camera-ready version of HEST for NeurIPS, which includes the latest version of the HEST-Benchmark with data scaling laws. It would be helpful if you could share the number of training patches used to train the model.
Feel free to reach out directly to gjaume@bwh.harvard.edu.
Thanks for your help. Best, Guillaume
guillaumejaume changed discussion status to closed