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:
- e1fafc64c0c242c63634d577ec3d2fbeba45916debaefc538ff1069e19d36871
- Size of remote file:
- 308 kB
- SHA256:
- 210ae6f62604c1bd3e73526b52f5fa6e1a67d9dc79c81eb6131627d9f8e84d83
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