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:
- c8cf3f9547795ebabce8c21e2a79953404b50c9ae0ab39c5192ec6d85560b517
- Size of remote file:
- 118 kB
- SHA256:
- c8367acba27b421315028bca158baac2e83177b8e2dc9667962b948130d4a43f
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