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:
- 3a32900a007c886ed241e5ba8e89107f7fec9ef7f8fb5682eddcdd97d8f6914f
- Size of remote file:
- 118 kB
- SHA256:
- cf7dd56f6b11ca9a0b484863f6d4e27c2cc7fa2be69fccf280c66d9447f65119
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