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:
- 0e77d29689fc29cd34bd52cf214daa38d5febba68a5b51cd2330982bdbc68fbf
- Size of remote file:
- 118 kB
- SHA256:
- c495f1b8f9a662e5a1d0ba966880c881088112193cff5d850a9dc0ed01cbda97
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