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:
- d1954611acfe4c4adc300a99a8f0033deec55010926d213cfa632d3691e337c2
- Size of remote file:
- 308 kB
- SHA256:
- cce00a01d8e1d50e3acff8fd22db9eed1e34ba3cd3166ca29a4df02b70cc1269
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