Instructions to use jaygala223/upernet-swin-tiny-38-cloud-dataset-binarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaygala223/upernet-swin-tiny-38-cloud-dataset-binarization with Transformers:
# Load model directly from transformers import AutoImageProcessor, UperNetForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("jaygala223/upernet-swin-tiny-38-cloud-dataset-binarization") model = UperNetForSemanticSegmentation.from_pretrained("jaygala223/upernet-swin-tiny-38-cloud-dataset-binarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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