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SpotLab
/
MobileViT_DeepLabv3

Image Segmentation
Transformers
PyTorch
google-tensorflow TensorFlow
LiteRT
Core ML
mobilevit
vision
Model card Files Files and versions
xet
Community
1

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
MobileViT_DeepLabv3 / MobileViT_DeepLabV3.mlpackage /Data /com.apple.CoreML
7.57 MB
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  • 3 contributors
History: 2 commits
Jaime García Villena
Add files for extra small
7822a12 over 2 years ago
  • weights
    Add files for extra small over 2 years ago
  • model.mlmodel
    147 kB
    Add files for extra small over 2 years ago