Instructions to use mgiardinetti/layout-parser-newspapers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgiardinetti/layout-parser-newspapers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mgiardinetti/layout-parser-newspapers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mgiardinetti/layout-parser-newspapers", dtype="auto") - Notebooks
- Google Colab
- Kaggle
accuracy
Browse files
README.md
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- humanities
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- history
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- newspapers
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This model has been made in order to extract the pictures of old French newspapers pages. It has been re-trained from the pre-trained Prima Analysis Layout dataset (https://www.primaresearch.org/datasets/Layout_Analysis)
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- humanities
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- history
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- newspapers
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metrics:
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- accuracy
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This model has been made in order to extract the pictures of old French newspapers pages. It has been re-trained from the pre-trained Prima Analysis Layout dataset (https://www.primaresearch.org/datasets/Layout_Analysis)
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