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:
- d8056d89af78fbb38b908bcc8c9daeeb6ab9a217d7ff51ef3420fd6fcf9151b9
- Size of remote file:
- 308 kB
- SHA256:
- 1ce663ea35d352a04764337967a751bb4e4ab819c6054ec8590e0055dfbe49b2
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