Instructions to use ChristianMDahl/segFormer-b3-horizontal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChristianMDahl/segFormer-b3-horizontal with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("ChristianMDahl/segFormer-b3-horizontal") model = SegformerForSemanticSegmentation.from_pretrained("ChristianMDahl/segFormer-b3-horizontal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64f3c71f77daa47418f241c81f58c2b482317b652f5000e1fc00e4542ec95238
- Size of remote file:
- 378 MB
- SHA256:
- d083d9d93ba9f468182ad2286db749748271853537102425268f7956482fc845
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