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:
- fde85835d636deb0f2e0c7c9cd82a8a6ec3e3bd7dd0c2a543e1a3f76f48236ac
- Size of remote file:
- 118 kB
- SHA256:
- 8836637f254132ff3a83b46a797e41563b5028fd23d756eb00a21d4eb8e282ce
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