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:
- 1fd022521db3f47b2f1dfa8754f20236c8e676f5fa2c9f9318adf7d51d1e1211
- Size of remote file:
- 118 kB
- SHA256:
- 14294b1b1f535094f47a9f82b70299a81543008dcae1e1da1f6c3d0e906edf0d
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