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:
- c0d6408cc1b4faa8223a1791d1efb636d59ff8943a48c270d8cbbd713ba804c0
- Size of remote file:
- 118 kB
- SHA256:
- fef98527119bf120d85574342f68b7761d64dc505b5f012c34ee9ed140b6e4c9
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