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
12 days ago
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.4e150cc
-
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