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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d8754e4879f9c352dee2aca7981d21268bd7f5d32e15f9fc47010066a011a8e
- Size of remote file:
- 308 kB
- SHA256:
- bdf7479da1f0e171cc92dba5cad81bf01a7a003644351f3fe1fedd652caaa64f
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