Instructions to use hf-internal-testing/tiny-random-Swinv2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Swinv2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, Swinv2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-Swinv2Backbone") model = Swinv2Backbone.from_pretrained("hf-internal-testing/tiny-random-Swinv2Backbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ddcd8ece483dddb90d5af95b8e48e5b2bce9b1987ea0b762206bf6fe070defd
- Size of remote file:
- 308 kB
- SHA256:
- c43b08afdc10c21d7d0dcadf266f82342586ee90e6569d36ad7db6586e547114
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