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:
- 236158bebddce27af6674c43091faf4b3c7c0f63139efcc6b2f3a4f434b26c98
- Size of remote file:
- 308 kB
- SHA256:
- 84f43da2ea3c80e506e6b474b67ed77d9d029c13acfea6044a96e49a4732d2cf
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