Instructions to use Gman/SegFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gman/SegFormer with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Gman/SegFormer") model = SegformerForSemanticSegmentation.from_pretrained("Gman/SegFormer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d14df452ebcc47c316970b1ef39894f058ef8dc9447b85b2eb477c4b8355160
- Size of remote file:
- 15.1 MB
- SHA256:
- 0e7b9e57075374d6dd8f9b131577e57bfaec7fd10c8340b5d5d197993844a260
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