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:
- d90e5a06f49e16445160f642fc4370bf0e429a7bbcce5003b255009fc34034fd
- Size of remote file:
- 308 kB
- SHA256:
- efae95b241ebff4521ba4af6ac7c9e6be4bde8a67b50121289fb69e69fd8b54d
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