Instructions to use glasses/deit_tiny_patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/deit_tiny_patch16_224 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/deit_tiny_patch16_224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
deit_tiny_patch16_224
Implementation of DeiT proposed in Training data-efficient image transformers & distillation through attention
An attention based distillation is proposed where a new token is added to the model, the [dist]{.title-ref} token.
DeiT.deit_tiny_patch16_224()
DeiT.deit_small_patch16_224()
DeiT.deit_base_patch16_224()
DeiT.deit_base_patch16_384()
