Instructions to use davanstrien/vit-manuscripts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/vit-manuscripts with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("davanstrien/vit-manuscripts") model = AutoModelForPreTraining.from_pretrained("davanstrien/vit-manuscripts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dfe848c436893f59d1b1a4329f7f5f20b4a907d32596e815608fafc2418c0b5
- Size of remote file:
- 3.12 kB
- SHA256:
- 97b221bced6baa56816087a8d216ccd1c8f5adce80e8d53149f09a6930cdcfa2
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