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:
- 371bf688caaa18838f0f317e7fc8ba0f5a5770ea6cc8028e5369fd8fe2fc29d3
- Size of remote file:
- 308 kB
- SHA256:
- edd4aa40b415c7ff7b6ce6dabffbab8310aefb3d76438ca6861f83e0a0f5cd0a
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