Instructions to use ChristianMDahl/segFormer-b3-version2-vertical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChristianMDahl/segFormer-b3-version2-vertical with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("ChristianMDahl/segFormer-b3-version2-vertical") model = SegformerForSemanticSegmentation.from_pretrained("ChristianMDahl/segFormer-b3-version2-vertical", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96db9510df028cdba5e12617f82e73465cc0aa472e75a359911396f9dc5f6fa3
- Size of remote file:
- 378 MB
- SHA256:
- fe98a9a03cf7c5e77a13d183c5137a05fe5a7b61e3062e0931b120631b2c9c65
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