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:
- fd75167f882f7e707e493b9d5adc1f62179bbc9732eb76ac771f82ba11534567
- Size of remote file:
- 118 kB
- SHA256:
- 24063e067227321a46df4eaa9a1f3c908367fafb0dba5a075db868b3a3288170
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