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:
- 033fb1e5c40b4b8e2830675a8074f045133a2714b7de7f80ad767e756cc13332
- Size of remote file:
- 308 kB
- SHA256:
- c9ab3947eaead67f3f1d4c18f98abaa66fb447015c14552a25dbb7ca7d4a3b6b
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