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:
- 0dc73cfa801799a23cb2b814ac6be2a6f81a39232dc0def786a226518e4c93cc
- Size of remote file:
- 118 kB
- SHA256:
- fee89426f8a2f11221bc787336056aafef65ae6703d8e115b910328b93b1eed3
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