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:
- 16bfd6ca687ec169518664ba5ebcf8f325d6bba441a3bcd4456f1a4f08ef2ff3
- Size of remote file:
- 118 kB
- SHA256:
- 2251cdceaafc9b522924e5e878b4cc1a33dbcee99d1003f5352ab6f5016dd6fa
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