Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

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
1.42 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 21 commits
alabatie's picture
alabatie
Update README.md
c52e903 verified 4 months ago
  • MAESTRO_FLAIR-HUB_base
    Upload 35 files 5 months ago
  • dataset_splits
    Upload 35 files 5 months ago
  • media
    Rename media/train_val_loss_maeflair.png to media/train_rec_loss_maeflair.png 5 months ago
  • .gitattributes
    1.58 kB
    Upload Maestro_Overview.png 5 months ago
  • README.md
    11.6 kB
    Update README.md 4 months ago