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:
- 15fba732fee2dd6f206da5b044981fddebab4bfb1d188c61eedc7cbc71014fd3
- Size of remote file:
- 429 kB
- SHA256:
- e084d6e0b119b009c63c2d67d766b0fdfe5f7ceb3200af8458a70aeb4f4d32d0
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