Instructions to use scenario-labs/segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scenario-labs/segmentation with Transformers:
# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("scenario-labs/segmentation") model = MaskFormerForInstanceSegmentation.from_pretrained("scenario-labs/segmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdef06735e9cc9ae79f96435eed8cf6c895ed077326db8e0650882ea86d5f4be
- Size of remote file:
- 167 MB
- SHA256:
- 5b1d58082fb676c8471d46d2ac88a0391b88c683463a0020295914697db03126
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