Instructions to use deman539/regular-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deman539/regular-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("deman539/regular-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("deman539/regular-segmentation-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 127b28b7fc22093e3286b19f6b99c63d73cafdb883307737dd5c95a4727cab1c
- Size of remote file:
- 15.1 MB
- SHA256:
- 37e5c9d8df21b390da21f07ad2923c6199f8d8951b44bc880c8fb88e7be495c4
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