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:
- b08f6af35562730be7a51ca788456eb3d03fdb0b432e1b66e2e8e92dd331d925
- Size of remote file:
- 118 kB
- SHA256:
- 8af8a5c1009a0f82bf71c3b316b30b7b844a91df4655b42b9dd90f06be766c4d
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