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:
- ccbccabd7a32059b0ce350859932c64ce94b2c105e4b10477435a1a6b1ef08de
- Size of remote file:
- 308 kB
- SHA256:
- 0bf01eaf55f43930d939e3ab2ce09cbc8b0af82c0b0791169515481984b5505d
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