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:
- 521d2bf1c908c11f85ebb86350e3d6d3eda78cd5fca11a5b79b7b396f568567f
- Size of remote file:
- 308 kB
- SHA256:
- c8792b3dae495c84045b71357f472b4dc6aed4ff29eb71a0f81ea6efb43727f4
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