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:
- 3060582b9d3c720af56765ba9af356cca600f63b9f95db8bd907a98182a2b772
- Size of remote file:
- 118 kB
- SHA256:
- 1e3272333f5ab199f0e676a1d1e31a281c59035e89ada218b0ecac38d6a6a71f
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