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:
- 6647af248a3e40b89ed651c1f858df2cd50ce1da0441c99be65badc57eb5ea19
- Size of remote file:
- 118 kB
- SHA256:
- cd74a16d198a39f2e73dc24629ac466dde19e511f6612bc40f1ca1b017fc9d0f
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