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:
- 3fae4b82601bde2073fb70bc1cd9776c17bc326d2872fd1bb5c005b58122ce07
- Size of remote file:
- 308 kB
- SHA256:
- 4bd1ee81623a80064376aaa0e04dcc398faf7939e6490b37bf7905a32de161f0
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