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:
- 8acf08252135ee8ec15b7c599548f37d2649cc9bb7f2477bb1950bb7367093cb
- Size of remote file:
- 308 kB
- SHA256:
- 99d8d6d081447d30113e766aa1cb409db3a54d2b8f727c2e73010f2f013dffef
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