Image Segmentation
Transformers
Safetensors
PyTorch
mask2former
semantic-segmentation
aerial-imagery
satellite-imagery
remote-sensing
swin-transformer
dlr
skyscapes
Instructions to use RyanQchiqache/mask2former-large-dlr-skyscapes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyanQchiqache/mask2former-large-dlr-skyscapes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="RyanQchiqache/mask2former-large-dlr-skyscapes")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("RyanQchiqache/mask2former-large-dlr-skyscapes") model = Mask2FormerForUniversalSegmentation.from_pretrained("RyanQchiqache/mask2former-large-dlr-skyscapes") - Notebooks
- Google Colab
- Kaggle
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