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INSAIT-Institute
/
MLRS

Image Segmentation
Transformers
Safetensors
mlrs
feature-extraction
remote-sensing
reasoning-segmentation
earth-observation
custom_code
Model card Files Files and versions
xet
Community

Instructions to use INSAIT-Institute/MLRS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use INSAIT-Institute/MLRS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="INSAIT-Institute/MLRS", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("INSAIT-Institute/MLRS", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MLRS
373 MB
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  • 1 contributor
History: 4 commits
Ronningen's picture
Ronningen
Update config.json
ca8471d verified 2 days ago
  • language_adapter
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  • .gitattributes
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  • README.md
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  • config.json
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  • configuration_mlrs.py
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  • modeling_mlrs.py
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  • processing_mlrs.py
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  • sam3_delta.safetensors
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    xet
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