Instructions to use khelton/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khelton/my-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("khelton/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("khelton/my-segmentation-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db11befc5a702de919b08aa78903527bbf505a3d43fa486e8a01a783d8cd167f
- Size of remote file:
- 14.9 MB
- SHA256:
- 385c55e1b466041a7bdf3cccedb488842c9be7745f7ee8986881be70b989db77
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