Instructions to use Jfeagans89/side-walk-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jfeagans89/side-walk-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Jfeagans89/side-walk-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("Jfeagans89/side-walk-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jfeagans89/side-walk-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 14.9 MB
-
https://huggingface.co/Jfeagans89/side-walk-segmentation-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jfeagans89/side-walk-segmentation-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jfeagans89/side-walk-segmentation-model/resolve/main/pytorch_model.bin
14.9 MB
- Xet hash:
- 4a430db4418694bdd8410ea6d4950fdce8801a83b770aac9983ce13ce250a24a
- Size of remote file:
- 14.9 MB
- SHA256:
- cab7bd921d7b906e11d4564630030ea6adf75af3f5b07b9c2e0d275e4d219202
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