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:
- 3c29a15c34b0da2f996abab09f0281f77d39b0f98d5f3315029e96dc3c7113c1
- Size of remote file:
- 308 kB
- SHA256:
- 137f6697d2f0c070cdf7a625d69ca8e1bb1ca44a0d23bdea092cc2bfe0f5a44c
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