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:
- 2a2d89286db391c7098071f3ef8fbb0def5b5339a58da9cca9e244c3408cdb9f
- Size of remote file:
- 118 kB
- SHA256:
- b27e050f056488f0ec1b84dc1c43834c3a8190630fcbac0609f69188ab877a0d
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