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:
- a06bf6bd257b1200bd6f1f649fc745c25d8f62cc624e3ee773a496936cd99bc4
- Size of remote file:
- 118 kB
- SHA256:
- cb607e90f68fd0f74a2fc99ae4b3c0f1526c53c0a72bd5b15660f20d07ee0660
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