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:
- bbeeb39a2b0cd5a87a600744b9224c6212685406279fdfa3897c4585fbfe25fb
- Size of remote file:
- 308 kB
- SHA256:
- 1c3370c3a2fa44cc31c5b20ece2dd981364e0821ff2057b92483dd52e1f153bf
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