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:
- d2dc01302bc9c3cd1512d851d9810378a79f29fd45b8b7668de9db6e41d64f48
- Size of remote file:
- 118 kB
- SHA256:
- 511fe7cbbc0fc3e4e5a028a19697aa03611bfd1c835a7ce303238ffbd5f80b9a
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