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:
- 08dd6f7fb4c6fb9fec82cbbcd61a40251d360cbad2626863df31bf2adeba6d7a
- Size of remote file:
- 308 kB
- SHA256:
- b4648071300a22ff8dbac086652d32f58f3cf594463d594ff2542dcae2e8b060
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