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:
- 5fd356572e94f204b3fa92445c092f421072ac86c9ea6192c0bc02b7fe7be992
- Size of remote file:
- 118 kB
- SHA256:
- de0947f29c090d5ae68665700f2f86f6eef17c30105b3e1f83240eccc5ab0e84
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