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:
- 351c83ec0c8ab26160c910bbea24f475df7288a507b13a4fe7e15aef10f1b62e
- Size of remote file:
- 118 kB
- SHA256:
- b6db3f62d6ffb70ffbe9ad87a3d7ac951c14a242a2f51c0c3795b0232948af51
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