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:
- 8f4a74b168cae78761dc50f9b97c452a8852fa99f4afcf1bb0afa9da03265dcf
- Size of remote file:
- 118 kB
- SHA256:
- baa9ab0848ba9b4989285233237939c2597591f3ba7b8bc2de8cfc5b03376ce6
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