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:
- 333ccc1e326e11c52f332d75624551bc2b6d5bb9c5cae0649f920068e9d68c64
- Size of remote file:
- 118 kB
- SHA256:
- 1f0c57bed0b5472db8cb553b23d770eaad92f17ab9ef538ed3be3022f123a377
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