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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f813fc7bf92321ce46cddc997a1194dc0a513320f640c40f51ec06c07f71bbef
- Size of remote file:
- 3.58 kB
- SHA256:
- dff2722526f111dc784fcaaee2be395f1f445a650c2489a85b7d899b4c888d21
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