Instructions to use Snarci/ViTMAE-CUB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Snarci/ViTMAE-CUB with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("Snarci/ViTMAE-CUB") model = AutoModelForPreTraining.from_pretrained("Snarci/ViTMAE-CUB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec7316d68fd1447018bb4dd1d41efbd76ed85fbe41170b3f6f63623f2605f391
- Size of remote file:
- 448 MB
- SHA256:
- 7a170e55c8bb50dd4610edd3c9c5932b5a300212f5e245a7a32148c231850a0e
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