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:
- 0c4788b9e950bddc44c69a0a531fe4cd3b1e0333a69acb8fa6e58e448f4d0368
- Size of remote file:
- 118 kB
- SHA256:
- 0a4c76973d6249afc04254d0485cf80ad13e51216148a6fddebbde6c932b4888
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