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:
- 41968b620bb81f28725f99ad36c30e420fe7d5b3647baaf7724536e63994c0f4
- Size of remote file:
- 118 kB
- SHA256:
- 644866d01f84fc6763dfd13bebed20bd5b68adcc3e50333ebb73cf47d31a58d1
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