Instructions to use hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation") model = MobileViTForSemanticSegmentation.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4689d175540ee119e4e2861b3dae4d14b8263bb18d5203705a63131c705e13e9
- Size of remote file:
- 25.6 MB
- SHA256:
- 07602737986c323c9b46e490eb0c9d5112d1bed3327e18398a2b3a36e815eb5e
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