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:
- ca6c7a82c93a80f70486b09ebd3cc45a23047d8e269e71be9079dc36996fe7bb
- Size of remote file:
- 346 MB
- SHA256:
- 30687d12f5b69e4533a90b078b113be394f7e465f8a44369c78c0c451f52ed6d
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