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:
- 1d8c3c2a480ecee71bd59effd9747b98bdeae6320f4ee44002e5de56a42b8f8d
- Size of remote file:
- 308 kB
- SHA256:
- 226dadea0aa62bf602139dd373c4fca0cf5c89b99b78d1b9e716065a49913f12
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