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:
- 05d8bab600c9a6c35dc2eedd1e68015f9f5ac327ba9296023f3316247bfa1a66
- Size of remote file:
- 118 kB
- SHA256:
- f441a90516d1badb9403c4400f8e029b05247175c723cb8b430753d185243ba3
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