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:
- dc63f808cee392b6cdc1a517c5237c37d935d3bc59e696c589fb1d087ccf9868
- Size of remote file:
- 308 kB
- SHA256:
- 582344a5fb972688b5d97d5ce0847f4acd34f9d840afa634c2a4c5f8e60e4097
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