Instructions to use Patnev71/floorplanv6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patnev71/floorplanv6 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Patnev71/floorplanv6") model = SegformerForSemanticSegmentation.from_pretrained("Patnev71/floorplanv6") - Notebooks
- Google Colab
- Kaggle
Upload SegformerForSemanticSegmentation
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "Patnev71/
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"architectures": [
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"SegformerForSemanticSegmentation"
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],
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{
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"_name_or_path": "Patnev71/floorplanv6",
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"architectures": [
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"SegformerForSemanticSegmentation"
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],
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