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:
- c5375e20946a2beb0bccfbc89f0a8c43d6e565bee0f4a558e4bc0fa607e819b0
- Size of remote file:
- 118 kB
- SHA256:
- e4bf563e46c542cff0b4d3c45bc538742e0a7014b3aab441eac36edd388336d8
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