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:
- db71ef221bb3f359a6e37f8e137367ff990cd835704b6c7e45bc2a1a99f66e63
- Size of remote file:
- 308 kB
- SHA256:
- a962e31e4e9c74b95669cd8c503e902b81c1a0456c6dcb282bee12c310769420
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