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:
- dff7ea3a70e968703a54014e79895bf150098f7ea3fc2e6612666a9f90e6b9fc
- Size of remote file:
- 118 kB
- SHA256:
- 2b2fb21f23c90c4ddd3c3a90be84e8de8c37f623e69692ec9313fcfd6fb2c361
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