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:
- adf7ab13eb165ec1019c5c315b41e34150435f45eaab2d3196fc92f92712ef92
- Size of remote file:
- 118 kB
- SHA256:
- b75a548e8cb1059774332943a764e0ffeeba29f462e16d3d8002e270dabb05da
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