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
File size: 534 Bytes
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"_max_size": 2560,
"do_normalize": true,
"do_reduce_labels": false,
"do_rescale": true,
"do_resize": true,
"ignore_index": 255,
"image_mean": [
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],
"image_processor_type": "MaskFormerImageProcessor",
"image_std": [
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],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
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"shortest_edge": 640
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"size_divisor": 32
}
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