Instructions to use microsoft/dit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/dit-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, BeitForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("microsoft/dit-base") model = BeitForMaskedImageModeling.from_pretrained("microsoft/dit-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
8 days ago
-
Add MIT license metadata (#6)
- Add MIT license metadata (9caf1431d6ba8a14babf115c9a4c9c15be401adc)9bc15e2
-
Update README.md
bcd125f
-
Update README.md
5f3a1d8 -
Update README.md
7b4c0df -
Update README.md
55b1dfc -
Update README.md
1ca7ca1 -
Update README.md
f521936 -
Update README.md
73f0ab6 -
Update README.md
70a687b -
Create README.md
4589b41
-
Add feature extractor
5a56fe4 -
Add model
3696522 -
initial commit
ff912cc