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:
- 2e2c5d89360e3d1a747c2097fc87eb47a53e850429a4cdcdf6864302b328c4be
- Size of remote file:
- 118 kB
- SHA256:
- 968a3ad6db2f0f6aa35a624e14fec5f3452b504190acce385e3f11acc1d50855
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