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
- Xet hash:
- 650583f8512571d283a8c0efbc4b9ad74ce3a846170333d6513c5494997f4de2
- Size of remote file:
- 3.12 kB
- SHA256:
- 5ef2b022574905d50a75f13f9bab5db686f2dd7003503e31f174c924450b007c
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