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:
- 51bd7ea35e5805d00813deb8721a776e7b8f351b5004fb4cbfaaff0e0c413708
- Size of remote file:
- 118 kB
- SHA256:
- 0d85c3972078af33dcb54a7d5d17dad66f11dc6e6ec4624fa1ac80b4a82b82a6
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