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:
- e25780968cbac0ef7dafc8b7c5945ecd40159d6ecf3a17c8585a416cd4deb3c4
- Size of remote file:
- 118 kB
- SHA256:
- 9e22bdc6a0be2b269710352ffc5688e63a4f25ecc30454b66d8f0ed42da1d2af
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