Instructions to use mrm8488/vit-base-patch16-224-pretrained-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/vit-base-patch16-224-pretrained-cifar10 with Transformers:
# Load model directly from transformers import AutoImageProcessor, ViTForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("mrm8488/vit-base-patch16-224-pretrained-cifar10") model = ViTForMaskedImageModeling.from_pretrained("mrm8488/vit-base-patch16-224-pretrained-cifar10") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot