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:
- 043bd39f9b8e58dccdab0c3364853d3ee2dcd82c2854110cabb405510b60aba7
- Size of remote file:
- 118 kB
- SHA256:
- 7331b6723cf93cb9f8391faa9584365501f2cd1b59c6a3cf3600f90dd3a7804f
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