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:
- 7482d8a4d4f83d34aecf884cfced696e7d46cd41c77035143891db0442bb84dd
- Size of remote file:
- 118 kB
- SHA256:
- 1577d8e682d8b44ff2812fc4f4de9b507c585dae95d1933a96942671014e8f81
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