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  ## Training Data
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  The model was trained on ICDAR2019 Table Dataset
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- ## Training Procedure
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- # Evaluation
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- ## Testing Data, Factors & Metrics
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- ### Testing Data
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- More information needed
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- ### Factors
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- More information needed
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- ### Metrics
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- ## Results
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- # Model Examination
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  # Environmental Impact
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  Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** More information needed
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- - **Hours used:** More information needed
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- - **Cloud Provider:** More information needed
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- - **Compute Region:** More information needed
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- - **Carbon Emitted:** More information needed
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- # Technical Specifications [optional]
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- ## Model Architecture and Objective
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- More information needed
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- ## Compute Infrastructure
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- ### Hardware
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- ### Software
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  # Citation
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  bibsource = {dblp computer science bibliography, https://dblp.org}
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  }
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  ```
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- # Glossary [optional]
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- More information needed
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- # More Information [optional]
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- More information needed
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  # Model Card Authors [optional]
 
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  ## Training Data
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  The model was trained on ICDAR2019 Table Dataset
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Environmental Impact
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  Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
 
 
 
 
 
 
 
 
 
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  # Citation
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  bibsource = {dblp computer science bibliography, https://dblp.org}
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  }
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  ```
 
 
 
 
 
 
 
 
 
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  # Model Card Authors [optional]