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:
- 5b30efc20e52916533d28d72b8cc4835c0b4ce9c70907efcf5410e81caf4648c
- Size of remote file:
- 118 kB
- SHA256:
- 703146cb9811e4c57dd590819cf0cae47229556cfb25444a7bb7e436a6ed7e22
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