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:
- 33795b6caa4d22490aa04327f41687e03566326db6336ec712127363cbe94672
- Size of remote file:
- 118 kB
- SHA256:
- 44ab7c900631d63466829ef6a8475b741c44e8ac13c92183bc5c5d73d9e3e7bd
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