Instructions to use Matthijs/deeplabv3-mobilevit-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/deeplabv3-mobilevit-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Matthijs/deeplabv3-mobilevit-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Matthijs/deeplabv3-mobilevit-small") model = MobileViTForSemanticSegmentation.from_pretrained("Matthijs/deeplabv3-mobilevit-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download MobileViT_DeepLabV3.mlpackage/Data/com.apple.CoreML/model.mlmodel from Matthijs/deeplabv3-mobilevit-small: direct link, hf CLI and curl.
- Browser
- Download file 157 kB
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https://huggingface.co/Matthijs/deeplabv3-mobilevit-small/resolve/main/MobileViT_DeepLabV3.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://Matthijs/deeplabv3-mobilevit-small/MobileViT_DeepLabV3.mlpackage/Data/com.apple.CoreML/model.mlmodel
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curl -L -o model.mlmodel https://huggingface.co/Matthijs/deeplabv3-mobilevit-small/resolve/main/MobileViT_DeepLabV3.mlpackage/Data/com.apple.CoreML/model.mlmodel
157 kB
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