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:
- c85b6c2435d91fc85736030216c983934282fdfd5900226ea3fc0489cb39d85c
- Size of remote file:
- 118 kB
- SHA256:
- 4378151a4c71d48401aef88a6de35f92ae2aac95b9e6020ff64051d4c8160e67
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