Instructions to use davanstrien/dit-base-manuscripts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/dit-base-manuscripts with Transformers:
# Load model directly from transformers import AutoImageProcessor, DeiTForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("davanstrien/dit-base-manuscripts") model = DeiTForMaskedImageModeling.from_pretrained("davanstrien/dit-base-manuscripts") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 1.0, | |
| "train_loss": 1.2410431504249573, | |
| "train_runtime": 414.7473, | |
| "train_samples_per_second": 2.411, | |
| "train_steps_per_second": 0.077 | |
| } |