Instructions to use paige-ai/Virchow2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use paige-ai/Virchow2 with timm:
import timm model = timm.create_model("hf_hub:paige-ai/Virchow2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Clarification for Incremental Weights Only
#75
by boyden - opened
For reproducibility, we would like to clarify the following: Can we open-source ONLY the incremental weights (such as LoRA adapters or full-parameter delta weights $A-B$)? Our code will strictly use timm.create_model("hf_hub:paige-ai/Virchow2") as the first step, forcing all downstream users to authenticate via their own Hugging Face accounts to access the base model. Does distributing only the increments violate the "ND" or "not to distribute" clauses?