Image Segmentation
PyTorch
Transformers
pytorch lightning
self-supervised learning
masked autoencoders
remote sensing
earth observation
multimodal
multitemporal
Instructions to use IGNF/MAESTRO_S2-NAIP-urban_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IGNF/MAESTRO_S2-NAIP-urban_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="IGNF/MAESTRO_S2-NAIP-urban_base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IGNF/MAESTRO_S2-NAIP-urban_base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K