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:
- a5e98ca0abb55b2197a4914e8a1b8b55c3a99c4e17ec57ac1b49e265c79125ab
- Size of remote file:
- 308 kB
- SHA256:
- 50bf14264c4e83135199462dd9d92a94cfdaa10e82862d8d2b0f5ae870c25555
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