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
- Xet hash:
- f28d419f725af23be512476a095d4ae395d7b86cb6ce34d9bce6e96e03a96cde
- Size of remote file:
- 368 MB
- SHA256:
- 606a26b700a4e002906e3e20bbc35dd8c3ff2b60836499671457bd75f677eb7d
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