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:
- 321a261f4e91c827fa6b25f7f1ea739b77a60e42abeb785e2789d93be93b953c
- Size of remote file:
- 118 kB
- SHA256:
- b1a277f7cc143652ba026f2bd7f88146037fae97977cfe18ffc9bf49bed278bb
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