Instructions to use SerdarHelli/deprem_satellite_semantic_xview2_large_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SerdarHelli/deprem_satellite_semantic_xview2_large_2 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("SerdarHelli/deprem_satellite_semantic_xview2_large_2") model = SegformerForSemanticSegmentation.from_pretrained("SerdarHelli/deprem_satellite_semantic_xview2_large_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66edc7d06ddc16e46f11afd98b4e99746f56e1d85659e76a9077527241b7586e
- Size of remote file:
- 339 MB
- SHA256:
- 47ef84f4733e17ac9b42ae0a5c4f7df032221564f16810ede6d3766af7669ff1
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