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:
- 904963a6a68aef9cdb102483e58c66c39b50e53d5e7edd34e6ae764e36f8510a
- Size of remote file:
- 308 kB
- SHA256:
- fa9b22afa3ffe891d45e15ab2a57eda652a817e96a6b29e594ee3b7fe26d03b9
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