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:
- c2cf4455046c7ca9fd6284e8c76b9e7b37e224846f6d6ef8640545a33b74dac4
- Size of remote file:
- 118 kB
- SHA256:
- 0cb57b76ce2e5f8b21ae0e8942d111f6f794479b81105588e5000a5a8db04b78
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