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:
- 4a5b5b83700ea78ccf5f71158748f919e6bd5e0792cfd90e1c0ccfc47566df2b
- Size of remote file:
- 308 kB
- SHA256:
- 4575d95706bba20dd6f96ee053f7ecdb19a215e4d8038145f5090080fc93d9c3
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