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:
- b1c491fa94801a85d4ab17f899dae8f5373b211fc20a2f50542b941a731e04cd
- Size of remote file:
- 308 kB
- SHA256:
- b79d01dba686a120c25ac91592c0ea6570617f8872b3a254d36e0a9f7464bfc8
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