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:
- ea07af6baa3c4e166daaadbebbd994896ab5b06fde473edbb20eb024c5c642c1
- Size of remote file:
- 308 kB
- SHA256:
- 4857d30255a40bab484aa38f7169131b10dc64233cd5794fac5b8ce209d0efd4
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