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:
- e70e25324dc825a3a85205ed37ca8a09e1808d0275b6cacf9aeab774da6325ba
- Size of remote file:
- 308 kB
- SHA256:
- 05a41a68fc7c89d555ef72dad66181b868ca1c7abcde8c5da0d38be8487739ea
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