Image Segmentation
Transformers
Safetensors
mask2former
instance-segmentation
vision
cubicasa5k
floor-plan
Instructions to use phungpx/mask2former-swin-base-cubicassa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phungpx/mask2former-swin-base-cubicassa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="phungpx/mask2former-swin-base-cubicassa")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("phungpx/mask2former-swin-base-cubicassa") model = Mask2FormerForUniversalSegmentation.from_pretrained("phungpx/mask2former-swin-base-cubicassa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K