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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd02f0b7cba7b57cce6259b5e1102c0cfa3ec76f11e747f619b6d6846a6ae4c7
- Size of remote file:
- 308 kB
- SHA256:
- 00b0c5a36a4903008b32131b369841a84f5dd0438c7c9f41500182deba97f640
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