Instructions to use hf-internal-testing/tiny-random-SwinForMaskedImageModeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SwinForMaskedImageModeling with Transformers:
# Load model directly from transformers import AutoImageProcessor, SwinForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-SwinForMaskedImageModeling") model = SwinForMaskedImageModeling.from_pretrained("hf-internal-testing/tiny-random-SwinForMaskedImageModeling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d79f09928f0dc9588660c234eb0553b447b3e6f6279ea765ce6813bd659e634
- Size of remote file:
- 429 kB
- SHA256:
- 79c08489ba977c87ad6ee5a81f0ee11a44bc3517fa585c7fdfebab8b85cd1d39
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