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:
- 5d63ac7b5b841734458193eb86b5eae87dec9e1b0472146af411a048d7a27f51
- Size of remote file:
- 118 kB
- SHA256:
- 015a6b71466e53a765cf4be75d4022002f48703f41f5c64452e625e01dcf0048
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