Image Segmentation
PyTorch
Transformers
pytorch lightning
self-supervised learning
masked autoencoders
remote sensing
earth observation
multimodal
multitemporal
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
Upload train_val_loss_maeflair.png
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by michavcr - opened
media/train_val_loss_maeflair.png
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