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:
- c31a659726f9063fa4dcc68ea356ca3d37d862279a7d8f216e05c61b78a00558
- Size of remote file:
- 118 kB
- SHA256:
- 8063c05acc2f4c258917f1d99f22cb79168a46e52163951df89c844e9150191c
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