diff --git a/README.md b/README.md index 9d583d6..802270a 100644 --- a/README.md +++ b/README.md @@ -8,8 +8,6 @@ tags: # Model Details -## 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). - **Developed by:** Taha Douaji @@ -30,10 +28,6 @@ detr-doc-table-detection is a model trained to detect both **Bordered** and **Bo ## Direct Use This model can be used for the task of object detection. -## Downstream Use [Optional] - -More information needed. - ## Out-of-Scope Use The model should not be used to intentionally create hostile or alienating environments for people. @@ -59,14 +53,6 @@ The model was trained on ICDAR2019 Table Dataset ## Training Procedure -### Preprocessing - -More information needed - -### Speeds, Sizes, Times -More information needed - - # Evaluation @@ -172,9 +158,7 @@ More information needed # How to Get Started with the Model Use the code below to get started with the model. - -
- Click to expand + ```python from transformers import DetrImageProcessor, DetrForObjectDetection @@ -202,5 +186,4 @@ for score, label, box in zip(results["scores"], results["labels"], results["boxe f"Detected {model.config.id2label[label.item()]} with confidence " f"{round(score.item(), 3)} at location {box}" ) -``` -
\ No newline at end of file +``` \ No newline at end of file