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IGNF
/
MAESTRO_FLAIR-HUB_base

Image Segmentation
PyTorch
Transformers
pytorch lightning
self-supervised learning
masked autoencoders
remote sensing
earth observation
multimodal
multitemporal
Model card Files Files and versions
xet
Community
2

Instructions to use IGNF/MAESTRO_FLAIR-HUB_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IGNF/MAESTRO_FLAIR-HUB_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="IGNF/MAESTRO_FLAIR-HUB_base")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("IGNF/MAESTRO_FLAIR-HUB_base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MAESTRO_FLAIR-HUB_base / dataset_splits
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  • 4 contributors
History: 1 commit
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alabatie
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