Image Segmentation
Transformers
Safetensors
English
mask2former
semantic-segmentation
earth-observation
satellite-imagery
land-cover
openearthmap
remote-sensing
Instructions to use mfaytin/mask2former-satellite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mfaytin/mask2former-satellite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mfaytin/mask2former-satellite")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("mfaytin/mask2former-satellite") model = Mask2FormerForUniversalSegmentation.from_pretrained("mfaytin/mask2former-satellite") - Inference
- Notebooks
- Google Colab
- Kaggle
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