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:
- 9e78916eed8b880e6a63b8e4fcada0a9a00c81b50e056e53747674c27d4c1b32
- Size of remote file:
- 308 kB
- SHA256:
- 65391dd4e1fab50bc4879554319d6b765b4d50ebdf883210de4dda45a40abfb0
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