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:
- c75a441ca8bc9aa3f5b96d925d546f0fa579fc97e308a7369c33c56bb10091f3
- Size of remote file:
- 308 kB
- SHA256:
- 325cb8ca5949b44cd26193fcb968b2fd2fc2d75363872ee89b5891be1bed5af9
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