Instructions to use deman539/segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deman539/segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("deman539/segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("deman539/segmentation-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5700fe7aa8eba7ce025c0200e112d5e2db9805368fdb4f96eb3fdefb85af964
- Size of remote file:
- 14.9 MB
- SHA256:
- 007aa549b02a1997e3cc7ed2b616bb657338c9895d7f9495c1f9b11230042205
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