Instructions to use SpotLab/MobileViT_DeepLabv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpotLab/MobileViT_DeepLabv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="SpotLab/MobileViT_DeepLabv3")# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("SpotLab/MobileViT_DeepLabv3") model = MobileViTForSemanticSegmentation.from_pretrained("SpotLab/MobileViT_DeepLabv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5487365a7a54064a5aedf417b516a3fe1c8033d0f69d18270813ed1a1324b71
- Size of remote file:
- 7.5 MB
- SHA256:
- ad3daf82893d5f9bca3440204d750d7d5a81cc4411ecc893879d0495c584afff
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