Instructions to use JSlin/SAM-Road-Pothole-Segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSlin/SAM-Road-Pothole-Segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="JSlin/SAM-Road-Pothole-Segmentation")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("JSlin/SAM-Road-Pothole-Segmentation") model = AutoModelForMaskGeneration.from_pretrained("JSlin/SAM-Road-Pothole-Segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce8b2a72c1d55ba470cf4c2bd1dd85aa9f2b4ba2cf597c78f67d99488687081f
- Size of remote file:
- 375 MB
- SHA256:
- 50c5ad0dbf44889fa39b79869ad9c3d2f58ad11aa209fae22e3a02f2d8968bc8
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