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:
- 73abd15a03f30ac4975ecd66436080ab7f036b201cd4ad6deedbad6ca2e574ad
- Size of remote file:
- 118 kB
- SHA256:
- 0896f224ba212dc331a3b56c3b3bf941df40e9d48d825f8b590ce7ac83a6cc92
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