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:
- 300c70bbd771d54dfa18e72f9282eb95733ddc9843039ccf6851eff9c5b26a28
- Size of remote file:
- 118 kB
- SHA256:
- 94679c7a7f0407c02f221393128c01ccdc8d6b99639fdcb3d6d7f44dbec3b59c
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