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:
- 5682c651251cb995db3cd54f2601b94973cce63fe187eabe4c7f374eccc72b2d
- Size of remote file:
- 118 kB
- SHA256:
- d376bcf075a8139bbdabd39929781385b17be8c3ce6e99cb6095cb9a9aa606d7
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