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This repository contains a fine-tuned version of the Table Transformer model, specifically adapted for detecting tables in IFRS (International Financial Reporting Standards) PDFs. The model is based on the Table Transformer architecture, which is designed to extract tables from unstructured documents such as PDFs and images.
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# Usage
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```python
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This repository contains a fine-tuned version of the Table Transformer model, specifically adapted for detecting tables in IFRS (International Financial Reporting Standards) PDFs. The model is based on the Table Transformer architecture, which is designed to extract tables from unstructured documents such as PDFs and images.
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## Model Details
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**Base Model:** microsoft/table-transformer-detection
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**Library:** transformers
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**Training Data:** The model was trained on a dataset consisting of 2359 IFRS PDFs, with a focus on detecting tables without borders.
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**Classes**: The model is trained to detect two classes: 0 - table (regular tables) and 1 - table_rotated (rotated tables).
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## Example Image
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# Usage
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```python
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