Instructions to use hf-internal-testing/tiny-random-ConvNextBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvNextBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, ConvNextBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-ConvNextBackbone") model = ConvNextBackbone.from_pretrained("hf-internal-testing/tiny-random-ConvNextBackbone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 528ac3dcd16770d002c10849a0cd164067b2921c5da4983e256dc23d12c43b15
- Size of remote file:
- 339 kB
- SHA256:
- d3a1dddc08f2d1d2ee76ad91e913d8116c3888d44fcaf92fbfbfd39f22a42cde
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