Instructions to use chainyo/segformer-b1-sidewalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chainyo/segformer-b1-sidewalk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="chainyo/segformer-b1-sidewalk")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("chainyo/segformer-b1-sidewalk") model = SegformerForSemanticSegmentation.from_pretrained("chainyo/segformer-b1-sidewalk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c1fcb2cb03e405c6f03c7c7d2d8375fbbeae550c99b7eeebb2eb6a654550f6b
- Size of remote file:
- 15 MB
- SHA256:
- 8315daa30c51e480cf7dce281c17fcdfbe9e279c6b55d8da91f0f58b1f61f233
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