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:
- 70a72f188b748d7f37026f8ce9463436ebf57b50e59134e2d7330612431f5ca9
- Size of remote file:
- 118 kB
- SHA256:
- 9961961a3be06b4ac4580e9d40ca45ec90b7c91e52c83046925bccfc592469b6
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