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:
- e8c6bfbec9b6c1b53a45de10aab6bdb0f1232ff6e4d328d65f3a9281653dd28a
- Size of remote file:
- 118 kB
- SHA256:
- e877ff484dd80ca8c79c00ad6ae2b7822073eaf68b59e3074cf1d9f642916a3e
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