Instructions to use hf-internal-testing/tiny-random-SwinBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SwinBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, SwinBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-SwinBackbone") model = SwinBackbone.from_pretrained("hf-internal-testing/tiny-random-SwinBackbone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4305852b545ab6b408356ef903f14725d5ece4dec295df74bc0511c7124139f7
- Size of remote file:
- 284 kB
- SHA256:
- 104ee1c8a6b1ea25d9504ef0630f992cd63f0fbb3b0e6dc62a773203e826cb9c
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