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:
- e4b254f9af77a2f95db9dbac7bfbbda56c9d10c519178d31686bca0288202fbf
- Size of remote file:
- 2.29 MB
- SHA256:
- 508b3b9fc8e0c081bd34a8fdfa24c426f73aff461ee0dc92fa6de673a541faac
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