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:
- b8a4f62124ab24c7c6ab4d66cc89b19229f84b46397b33405aac7e7fabfcc72f
- Size of remote file:
- 118 kB
- SHA256:
- 85b8ed2855e2547ef48f74c76222d16b859e143b1c133a3e13f053874dad2109
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