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:
- d39700586baf0edb8211d37cea4d2aeac2bc018908569ea1862a0aaac7277c6d
- Size of remote file:
- 335 kB
- SHA256:
- 1802fa772eeaba00e74825c7910c9490652b942d5cb366b767a04e71d06fd6c5
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