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:
- 27e0fceb31e846b4c9ad1cc68b3f03efc88ae3859356ac7ac7954dcb3139c666
- Size of remote file:
- 118 kB
- SHA256:
- 8f91728138dc3913cea72a3309397d9e366e605f0b780276f699580d3b4a05bf
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