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:
- 1cd1a21c3d06e4923f2af66e11804fa66fd234afbd7dc01bc45725e92de11d0d
- Size of remote file:
- 118 kB
- SHA256:
- d324c6b491ba9b264a0d575928e559f28fdcabdba04446acc504336bfab175ca
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