Instructions to use ppak10/test_ViT-Masked_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppak10/test_ViT-Masked_2 with Transformers:
# Load model directly from transformers import AutoImageProcessor, ViTForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("ppak10/test_ViT-Masked_2") model = ViTForMaskedImageModeling.from_pretrained("ppak10/test_ViT-Masked_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_runtime": 516.4508, | |
| "eval_samples_per_second": 341.792, | |
| "eval_steps_per_second": 42.724 | |
| } |