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:
- c301b3b8242501608b9f0a59d6e5995d150a4d7d354e9f637a11d400d68796cb
- Size of remote file:
- 118 kB
- SHA256:
- 60e45eb5b342649d62cc105b6e6242f12bcf76200e79b726de958bd81ddeb3de
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