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:
- 8aa6488a337c81371c5d846ceaf9a1ce2ec1351ab39a430fd7acb1c6eaf34e65
- Size of remote file:
- 308 kB
- SHA256:
- 217a467f49d400e1b018bbfc86fe866345a726fdeaf467ab7abfbc9f752c425a
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