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:
- 0b1288640275b592077d5d9dcbf2fc3df2f0a34f00b13e9724025d99d2bb0785
- Size of remote file:
- 118 kB
- SHA256:
- 1ff2f87898af31e7bd8bfd460c82e6d5c9374dc13c18bbdf3bd6ef221f833d5e
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