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:
# 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
Download pytorch_model.bin from microsoft/dit-base: direct link, hf CLI and curl.
- Browser
- Download file 369 MB
-
https://huggingface.co/microsoft/dit-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/dit-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/dit-base/resolve/main/pytorch_model.bin
369 MB
- Xet hash:
- 6790ef3efe018bcba44071527e93b6c05fb14c98862bc169b846c6b48322b48b
- Size of remote file:
- 369 MB
- SHA256:
- 36b2e33c2116aab5de4e460e9a082adec433e53a3bff4b90c781c148239485db
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