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:
- b7bcd68f3035691db98c69eaf848392509c75a2799496cbe4309e16c3b3499ef
- Size of remote file:
- 118 kB
- SHA256:
- d6926e1a7ab2a01ee71f920a710777a7e77ba437a463deb9186eaeedb66be6ef
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