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:
- 0e39c57886513f135b5c2833bd15829641f57ff3a58c0fcd43fb05a3df59913e
- Size of remote file:
- 118 kB
- SHA256:
- 6f6e455f634de99e04817110ebb6cf733bd8426f03b72a25220b0666013d24e5
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