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:
- 0ed874e8e700ff4428055b9b804d0b0cfe079580f99d9252c71fe2de8a170e99
- Size of remote file:
- 308 kB
- SHA256:
- 3c7f3e7400dc3774bb79fd89f3d8c0f2ec6df95534304b541c612879a550bd1b
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