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:
- 5205c10bffe507085333d00d4ea7b11f4917c781ac8a581811ff0aded0a91ec1
- Size of remote file:
- 118 kB
- SHA256:
- 286f8a2863765f5fcc08e2564888e7e65a2aeada00355e87e1805af4ef3cd86d
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