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:
- 6720421beb10d5ffb0cd1dd888c7b5b8dcdd39a37143dc9eb20c8674fc4803a2
- Size of remote file:
- 118 kB
- SHA256:
- 0c5c4c4b8b1de88d22b2d7eff8e1238bb9b91753ae73fca5031082d8284b76ae
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