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:
- 345feea7387bb9b05d30407f64a1f23afc2ea87d53cb14c09e600f55a8bbb530
- Size of remote file:
- 118 kB
- SHA256:
- 882c7fdb7ff241f574209009432405e7f7516870aed377f5672c85e6e26bfe5b
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