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:
- 23ce388f25e36a01542881c971533e8e15646f6da72e1e26e87e388ce5d96bd8
- Size of remote file:
- 118 kB
- SHA256:
- 1da039ade03c0c00dba0b1eb3758175719372aaf7310e52ab05c171a47bedc09
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