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:
- 8e77680aedea5877e78ca766ba0a06c2f172ecf67208f1522521c8678d7d0274
- Size of remote file:
- 118 kB
- SHA256:
- be8ee80a8945c9db1311dd2997d3595a53767dcaf12eaf168987d1c8a97c2501
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