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:
- b7438a6ea0535f1452ca9dff3775cbca8da2aaad7a5da09c761b64cf4ea738fe
- Size of remote file:
- 308 kB
- SHA256:
- 4195f799f6d81e6b29db6208593bcaa9e8b1c778e86c9e69e7fd72731b558b37
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