Instructions to use hshetty/segmentation-model-finetuned-on-semantic-sidewalk-3e-4-e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hshetty/segmentation-model-finetuned-on-semantic-sidewalk-3e-4-e5 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("hshetty/segmentation-model-finetuned-on-semantic-sidewalk-3e-4-e5") model = SegformerForSemanticSegmentation.from_pretrained("hshetty/segmentation-model-finetuned-on-semantic-sidewalk-3e-4-e5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9febe04156ab8a2e02933df178faa45b868d6df891da82d3d2a1378d87e5049
- Size of remote file:
- 15.1 MB
- SHA256:
- 1736ccc24bac656ffe43415a9de7bc59eb6eb42cece06ef4bcbcbfeef9715f9e
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