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:
# 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
- Xet hash:
- fb2031a93034d23828730533527963b54bf22a76fe81ab4199f3776fba476f48
- Size of remote file:
- 1.25 GB
- SHA256:
- b511eb39567bfed3f5856f7113fede2e674753803e81ec68a1f7d9ed77f2d729
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