Instructions to use ThankGod/regular-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThankGod/regular-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("ThankGod/regular-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("ThankGod/regular-segmentation-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed74972031a51465721c7b1189fd57bb1e7ea06a1ba426988d76d3b746398fe5
- Size of remote file:
- 14.9 MB
- SHA256:
- c83f4bb3227fac3cb74181680eac2a2215ee80d7b5c22d215fd7da9ee334e46b
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