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:
- 3f101b6015b19e41a20ae72f593a6f8b4558f47238f644c72f7361695610a1ef
- Size of remote file:
- 118 kB
- SHA256:
- a2d2c69b1dd5ef96c826b5196a5af5df6879b886870e32cc57395e2d2dbe4a5e
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