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:
- ca8b51375343535e46f18fe22e45c4bab7e3d42b0b510b1b2c3abbac5b6a1ed6
- Size of remote file:
- 308 kB
- SHA256:
- 1f19883951d824ab21444ee3f13c120abc857f0280c357ff9985078b579ba115
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