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:
- 34d32ca953fb03f5717c483e5f083eec451962b5bebc7e67bd8cf32f99b7bd0e
- Size of remote file:
- 308 kB
- SHA256:
- 3f62f2075b847a5af00d6231ccc840730e8fa5441862d66487c59a69fce7ada8
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