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:
- e4d39264d69b625fd346a25d01e7f13ffd1ac19bec5513f8c260016c0d352a55
- Size of remote file:
- 118 kB
- SHA256:
- ad2b6320f3cba7833b7e81565e1edca8d4ebd80df6c0e961377fa45dd82624c1
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