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
#11
by yishuzhang - 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 evaluate this model against the method I developed and against other foundation models. This evaluation will be conducted strictly for academic research purposes.
Thank you for your time and consideration. I look forward to the opportunity to include this model in our comparative analyses.
Hello, thank you for your interest in H-optimus-1. I've just granted you access to the model.
I'm closing this issue, please feel free to re-open it if you encounter any problem.
Best
checkpt9 changed discussion status to closed