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:
- 08131358b14891dcc5b1dd10e4b18b5b975bfb4c862d8d0f3b09d5714936ea44
- Size of remote file:
- 118 kB
- SHA256:
- aa4c3df9fa7ddad5803376c9a5eba13ad895ee7bf5e709a8c2956f44e581773b
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