Instructions to use mukesh3444/window_detection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mukesh3444/window_detection_model with Transformers:
# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("mukesh3444/window_detection_model") model = MaskFormerForInstanceSegmentation.from_pretrained("mukesh3444/window_detection_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f3181da23e6758a5891fefb7f29ac1f44302de16d3b924349eebeca9c99651b
- Size of remote file:
- 851 MB
- SHA256:
- 9a684932b2186f8d3ddff8cc1e84cb35ad720520c2cb2ec85b51905dc51e95c8
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