Instructions to use microsoft/dit-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/dit-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, BeitForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("microsoft/dit-large") model = BeitForMaskedImageModeling.from_pretrained("microsoft/dit-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/dit-large: direct link, hf CLI and curl.
- Browser
- Download file 1.25 GB
-
https://huggingface.co/microsoft/dit-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/dit-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/dit-large/resolve/main/pytorch_model.bin
1.25 GB
- Xet hash:
- fb2031a93034d23828730533527963b54bf22a76fe81ab4199f3776fba476f48
- Size of remote file:
- 1.25 GB
- SHA256:
- b511eb39567bfed3f5856f7113fede2e674753803e81ec68a1f7d9ed77f2d729
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