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:
- 2bc76822ac2af86eefb2fbbc85515bba9a34397cc170a883d412349f875f1f74
- Size of remote file:
- 25.5 MB
- SHA256:
- b462ee9fd65adc91a56663c147c5fa04b4750004066bdd32eec3fa105c9efebe
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