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:
- 97b2da51db774dec9fab6257ce5fd48d217e52d457227c7732a9d7004e41cb03
- Size of remote file:
- 118 kB
- SHA256:
- acf909ea1a4681cfe671a3878a1d0d193319f0e9d6012621cae625afe9cf83f4
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