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:
- f3299d120b7b5cf59ca3073113f603a7a81ed67924f4b4ba3bfc1b7f41cc641c
- Size of remote file:
- 448 MB
- SHA256:
- a42bc0904255185d592a8b10f45be5d3ede50325bca837429efa758923d2bab8
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