Instructions to use Kavindu99/side-walk-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kavindu99/side-walk-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Kavindu99/side-walk-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("Kavindu99/side-walk-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Kavindu99/side-walk-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/Kavindu99/side-walk-segmentation-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Kavindu99/side-walk-segmentation-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Kavindu99/side-walk-segmentation-model/resolve/main/pytorch_model.bin
15.1 MB
- Xet hash:
- 9af8acfa9a7571e362150eacd3d62e88d19815482391f9d53d54cef4ddaf9ed9
- Size of remote file:
- 15.1 MB
- SHA256:
- 1acf03955b7be1923df155afb4b2dc98b57b5971cb5b634543bd8f52eb3d1b34
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