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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 165 Bytes
f34e144 | 1 2 3 4 5 6 7 | {
"epoch": 1.0,
"train_loss": 1.2410431504249573,
"train_runtime": 414.7473,
"train_samples_per_second": 2.411,
"train_steps_per_second": 0.077
} |