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+## Model description
+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)
+
+## Training data
+The model was trained on ICDAR2019 Table Dataset
+
+### How to use
+
+```python
+from transformers import DetrFeatureExtractor, DetrForObjectDetection
+from PIL import Image
+import requests
+image = Image.open("Image path")
+feature_extractor = DetrFeatureExtractor.from_pretrained('TahaDouaji/detr-doc-table-detection')
+model = DetrForObjectDetection.from_pretrained('TahaDouaji/detr-doc-table-detection')
+inputs = feature_extractor(images=image, return_tensors="pt")
+outputs = model(**inputs)
+# model predicts bounding boxes and corresponding COCO classes
+logits = outputs.logits
+bboxes = outputs.pred_boxes
+```
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