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:
- 7719b6f22c9f4b71f4d691f58e0a43eb5586eeee2d9a79101558106bda6f4c0a
- Size of remote file:
- 118 kB
- SHA256:
- 29544ea01af6b80c2ae42d26a29b00f73ae902b00857cf24e924e160407acec8
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