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JDONE-Research
/
AIOne-GeoSeg-330M

Image Segmentation
Transformers
Safetensors
Korean
English
aione_geoseg
feature-extraction
semantic-segmentation
remote-sensing
aerial-imagery
land-cover
korean
dinov3
tcam
vision-transformer
custom_code
Model card Files Files and versions
xet
Community

Instructions to use JDONE-Research/AIOne-GeoSeg-330M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JDONE-Research/AIOne-GeoSeg-330M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="JDONE-Research/AIOne-GeoSeg-330M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("JDONE-Research/AIOne-GeoSeg-330M", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • configuration_aione_geoseg.py
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  • image_processor_aione_geoseg.py
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  • modeling_aione_geoseg.py
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