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:
- e38857be6b28e63cfd76543e8adc8e41ce36f28a4b3b78dd61d3c8a8b4518766
- Size of remote file:
- 308 kB
- SHA256:
- 7d47cec21dd8049fa05097c1721ce71552aa56c9f3c9b880d07f3406a6a9ec2a
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