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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17c53b8ce8406f4dd9b44688432e2d93f898cf93d2570f12287e002f80a10ff9
- Size of remote file:
- 308 kB
- SHA256:
- aa7ae1a5699f225b92bc7be7932c2cebabcd31c3fab1eb0603c0ee2d0259b0f3
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