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:
- 0efa21107ce4ebddf93517b3d25a0d1eb4e7f51d9bbe6c4d516b448d1d1ef6b4
- Size of remote file:
- 308 kB
- SHA256:
- a6d3c2a9965e7b5494dea0e1be473ea45562f890754fcbe5b47b654858e268e6
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