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: 129 Bytes
0a6af2f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5ef2b022574905d50a75f13f9bab5db686f2dd7003503e31f174c924450b007c
size 3119
|