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:
- 028ea2fc1798f8017a1f3258cde51ae7a855b265981fa7eefd88f57e3d58e21c
- Size of remote file:
- 118 kB
- SHA256:
- 79ac09724619191bc52de43519b2103b22e0727fe31cd94130983679093a2b6c
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