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:
- ebc025d638b6bb89121061111e073e20babf67a73fd12f3beef0617a2863f107
- Size of remote file:
- 118 kB
- SHA256:
- 6237fde114fa8e6509371afe9118e1a2c6629be6fd5dc2a7dd4732d7cab15629
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