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:
- 5cc184b0623393194ec2b6169bfce8bea1ed1b233de161be906bcc8eccc3ab7d
- Size of remote file:
- 308 kB
- SHA256:
- a8686e03fda1069dbe215044b910605455a10e4b15d72ae5fdc2762cc50f88c4
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