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:
- 2ae1ae985ca67b51d786ada3e676881a7d37e2d815c0d591866ee1af7eede7f5
- Size of remote file:
- 308 kB
- SHA256:
- 2e98ac7b1d78776fcb3f97bfe8805f43a9c237ef48a7e98a4cc306d8e0aae922
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