Instructions to use vikp/line_detector_math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/line_detector_math with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForRegressionMask processor = AutoImageProcessor.from_pretrained("vikp/line_detector_math") model = SegformerForRegressionMask.from_pretrained("vikp/line_detector_math") - Notebooks
- Google Colab
- Kaggle
Upload SegformerForRegressionMask
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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{
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"_name_or_path": "line_detector_math
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"architectures": [
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"SegformerForRegressionMask"
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],
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{
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"_name_or_path": "line_detector_math",
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"architectures": [
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"SegformerForRegressionMask"
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],
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 119881240
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version https://git-lfs.github.com/spec/v1
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oid sha256:65d7f7d774b079fa09cb1e83a217150fcbb085e092fb814615c0537a97310226
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size 119881240
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