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:
- 3afc927f420f96a7bad5c6c80d12ed60bfae20a2fe666ee8ea98adde9d5123ff
- Size of remote file:
- 118 kB
- SHA256:
- 3fe0ca1fb5ab5cc1297a9319e7bdd02d570f2f4cac59c83d90002a32ebfbaf9f
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