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
#3
by qcjames - opened
I am conducting academic research in computational pathology. I intend to use H-optimus-0 as a frozen feature extractor to compute embeddings from H&E histopathology images for representation learning, retrieval, and benchmarking of generative image models. All use is non-clinical, for research purposes only, not for diagnosis or patient care.
Hi, @qcjames . Thanks for the message. To proceed with the review of your request, we kindly ask you to correct your submission details. Thank you.
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