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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_processor_class": null, | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 2, | |
| "size": 224 | |
| } |