Instructions to use hf-tiny-model-private/tiny-random-SwinForMaskedImageModeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-SwinForMaskedImageModeling with Transformers:
# Load model directly from transformers import AutoImageProcessor, SwinForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-SwinForMaskedImageModeling") model = SwinForMaskedImageModeling.from_pretrained("hf-tiny-model-private/tiny-random-SwinForMaskedImageModeling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd4b52e7094213dc904ce71fd2f3c89bf8a08649266d2c278dc5773e32193dee
- Size of remote file:
- 335 kB
- SHA256:
- 2fd514a131c542667ca67f7934f72cee2858fce941af3dd39c2214f1c4252a2d
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