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:
- 36d81abab2ee8a18e7291cf08d9fd0560aade3ae4b02b55ad596b70185d8242d
- Size of remote file:
- 308 kB
- SHA256:
- d8884d37d794adc1c6903f36356e37e7952d2f2b84c71655e6f11da0842cc1e9
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