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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f01a0cd36c53b3fb6078cfeb6cc9f44617eda4ea0e2ca43ff28f1c4524d0c791
- Size of remote file:
- 308 kB
- SHA256:
- 69fd9d4aa00360ce1de5a78c53fab69eb3768636a1875c8bb48104acdc15b3d5
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