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:
- b0cb60e780eec8ddded4beea0b66a81871da825d6f767bdb21645c00127d0c08
- Size of remote file:
- 118 kB
- SHA256:
- 87bb0228ac6b36570de4ff3b85db502e6a7350d39eafffd8f7154776d53caae9
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