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  # Model Details
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- ## Model Description
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-
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  detr-doc-table-detection is a model trained to detect both **Bordered** and **Borderless** tables in documents, based on [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50).
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  - **Developed by:** Taha Douaji
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  ## Direct Use
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  This model can be used for the task of object detection.
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- ## Downstream Use [Optional]
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- More information needed.
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  ## Out-of-Scope Use
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  The model should not be used to intentionally create hostile or alienating environments for people.
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  ## Training Procedure
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- ### Preprocessing
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- More information needed
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- ### Speeds, Sizes, Times
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- More information needed
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  # Evaluation
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  # How to Get Started with the Model
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  Use the code below to get started with the model.
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-
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- <details>
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- <summary> Click to expand </summary>
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  ```python
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  from transformers import DetrImageProcessor, DetrForObjectDetection
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  f"Detected {model.config.id2label[label.item()]} with confidence "
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  f"{round(score.item(), 3)} at location {box}"
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  )
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- ```
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- </details>
 
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  # Model Details
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  detr-doc-table-detection is a model trained to detect both **Bordered** and **Borderless** tables in documents, based on [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50).
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  - **Developed by:** Taha Douaji
 
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  ## Direct Use
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  This model can be used for the task of object detection.
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  ## Out-of-Scope Use
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  The model should not be used to intentionally create hostile or alienating environments for people.
 
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  ## Training Procedure
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  # Evaluation
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  # How to Get Started with the Model
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  Use the code below to get started with the model.
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  ```python
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  from transformers import DetrImageProcessor, DetrForObjectDetection
 
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  f"Detected {model.config.id2label[label.item()]} with confidence "
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  f"{round(score.item(), 3)} at location {box}"
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  )
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+ ```