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:
- e2b4ad3d8dc93ba86c7aa21e87bf18c47de2f06f41386e06efb1e62e0a69136d
- Size of remote file:
- 118 kB
- SHA256:
- d220ac94498a308f1c06c548299e11d876490d8313f3c60f4ff72df9c8a2315d
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