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:
- e036c884204caad9b26a2dfa472a1f87cb01d053756863a1fb227f6a126cbf3d
- Size of remote file:
- 118 kB
- SHA256:
- 70c8b46a5c7daf43b633a1ef88259d922113de5ee1ba6c5fe5d97b965e77c0f0
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