Instructions to use MVRL/rcme-tol-vit-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use MVRL/rcme-tol-vit-base-patch16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:MVRL/rcme-tol-vit-base-patch16') tokenizer = open_clip.get_tokenizer('hf-hub:MVRL/rcme-tol-vit-base-patch16') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2804c66cba17b552a205ea7b51eb251951f016af2be0b34c1b3fd0c0b19732e7
- Size of remote file:
- 599 MB
- SHA256:
- 48a51f14b1a6ae33b12bdcb9d77749b63c9572c00809f13f25b208eda8076ff9
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