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:
- b870793ecf28ed5c07340e471e7ed81e945e710f538b6c7c1430b2bf5568a068
- Size of remote file:
- 118 kB
- SHA256:
- 8a4c5d0d24733aa0d8c9a311c27402cf219db11ce83f309a2835f04a4b420cf6
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