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:
- 5c946a507b0db4f5076ee240a52e6e813d8a7e4dc6733cab6f5aec49c24576ce
- Size of remote file:
- 308 kB
- SHA256:
- c68c885f33cd19e4ac6745f98aed455a5cd17a6541aa0f2ec25c5a1b68278145
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