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:
- 008e25b3bdd5cb43fb8f38008730b50168dd3a50b67fca58202f7e430a104fc6
- Size of remote file:
- 308 kB
- SHA256:
- dca9a61cc3033cc248c6cad0e2cfeaf8155226542c2c06735ac48b6c11396ed5
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