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:
- c4a079bae1f70516fdb833f290cb4636e9caefe0a039b7c726402c137dc8f762
- Size of remote file:
- 308 kB
- SHA256:
- 1b420ca1e8d9f896bf4f109cc5c4e8c4b549220ce1a42a47398ce70172d143a9
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