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:
- cc92c51ea8a3f1ee918ba9613a631a76ed68c1cf4b51721cf20eb48f9032cdf9
- Size of remote file:
- 308 kB
- SHA256:
- ec794f32cce0319b4ccf62b4cfd842a5e4c5f4bcda1e801ee1061ce1dc60d163
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