Instructions to use jaygala223/upernet-swin-tiny-binarization-and-label-merging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaygala223/upernet-swin-tiny-binarization-and-label-merging with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, UperNetForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("jaygala223/upernet-swin-tiny-binarization-and-label-merging") model = UperNetForSemanticSegmentation.from_pretrained("jaygala223/upernet-swin-tiny-binarization-and-label-merging", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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