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:
- 1bd3e97b7653e6c88ac9c37a67e1bc14f29e378cabd6852bc3835bead5f29606
- Size of remote file:
- 308 kB
- SHA256:
- e435578457551a2f50da428452d72a5fe40f52a85fb1b2c4c489d149fcbe6a02
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