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](https://arxiv.org/pdf/2010.11929.pdf) | |
| An attention based distillation is proposed where a new token is added | |
| to the model, the [dist]{.title-ref} token. | |
|  | |
| ``` {.sourceCode .} | |
| DeiT.deit_tiny_patch16_224() | |
| DeiT.deit_small_patch16_224() | |
| DeiT.deit_base_patch16_224() | |
| DeiT.deit_base_patch16_384() | |
| ``` | |