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:
- 24e78db3d50bd67f7fb48ad4aacceee073f9406a4acc3caeda2fd6d3935eb868
- Size of remote file:
- 118 kB
- SHA256:
- c2e6648ec18cacb6bc3bec76dc5b3d79aa725bf17c265982fda1501971afb281
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