Instructions to use brendenc/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brendenc/my-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("brendenc/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("brendenc/my-segmentation-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fac15c165d8fb083433ee51dc6769eea3315297bf8e11f448ff033c11acdd095
- Size of remote file:
- 15.1 MB
- SHA256:
- 9abbbec2626f352de0e4b4192acf86a17672a5c1fce6cecf17745ba966486326
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