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:
- 8b5239db048833b2c4ddae7a6ed52d09c4dfc3e73514d32b4fd434143906464f
- Size of remote file:
- 118 kB
- SHA256:
- addc33a8a7d90877575b99e409c7d80ac9eeda3363333b81ad006bc5b6db9226
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