Instructions to use chainyo/segformer-sidewalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chainyo/segformer-sidewalk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="chainyo/segformer-sidewalk")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("chainyo/segformer-sidewalk") model = SegformerForSemanticSegmentation.from_pretrained("chainyo/segformer-sidewalk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2760d5e4ee32d32684d52572a78e5cffb026aa7b44b9dbd72febf49713e1c5c
- Size of remote file:
- 15 MB
- SHA256:
- da54283a8c17dbe2279d52a7a8a64f3afec217b45291ea14a43adf8808eade2a
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