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:
- 4359115c736644b9bec381b0c46e7e50869a988f15c2e7dd7a36c5074ad377d1
- Size of remote file:
- 118 kB
- SHA256:
- 9c9c5f1d4569ccf5015fdb5defa1456d8cf83081ffa707907bd69f45f9fb683f
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