Instructions to use vikp/column_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/column_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vikp/column_detector")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("vikp/column_detector") model = AutoModelForSequenceClassification.from_pretrained("vikp/column_detector") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 502 Bytes
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"do_normalize": true,
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"do_resize": true,
"feature_extractor_type": "LayoutLMv3FeatureExtractor",
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"image_processor_type": "LayoutLMv3ImageProcessor",
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