Instructions to use Thibaut/route_background_semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thibaut/route_background_semantic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Thibaut/route_background_semantic")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Thibaut/route_background_semantic") model = SegformerForSemanticSegmentation.from_pretrained("Thibaut/route_background_semantic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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