Instructions to use hf-internal-testing/tiny-random-BeitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BeitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BeitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") model = BeitBackbone.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 766be1f3f9b10875d11c519ecbb9398dcba2c9d27db95d7bd40ed23c8e1a56a8
- Size of remote file:
- 118 kB
- SHA256:
- c3426d2ba781472ee95c1cd3229655b100e64a43655be57316adb3069d6a9920
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