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:
- cc70d1f7381f3a65150132f39d9ca6de93c06ed848fe767ab43b0ab3d3f5aa93
- Size of remote file:
- 118 kB
- SHA256:
- 8ca5bf049cb191baedb15dafc95c064d012c918f9b1cf233ef02d063bcee733c
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