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table-transformer-detection-custom-ale
aParadigmP/table-transformer-detection-custom-ale
table-transformer-detection-custom-ale is a object detection model from aParadigmP. Use it when you need objects located in an image. It is set up for transformers. The card lists the license as mit.
Table Transformer (DETR) model trained on PubTables1M. It was introduced in the paper PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents by Smock et al. and first released in this reposit…
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At a glance
- Task
- Object Detection
- Library
- transformers
- License
- mit
- Model type
- table-transformer
- Access
- Public
- Created
- Nov 3, 2023
- Updated
- Nov 3, 2023
- SHA
- b05548b5
Model card
From the Hugging Face model README
Table Transformer (fine-tuned for Table Detection)
Table Transformer (DETR) model trained on PubTables1M. It was introduced in the paper PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents by Smock et al. and first released in this repository.
Disclaimer: The team releasing Table Transformer did not write a model card for this model so this model card has been written by the Hugging Face team.
Model description
The Table Transformer is equivalent to DETR, a Transformer-based object detection model. Note that the authors decided to use the "normalize before" setting of DETR, which means that layernorm is applied before self- and cross-attention.
Usage
You can use the raw model for detecting tables in documents. See the documentation for more info.
- Task
- Object Detection
- Library
- transformers
- Type
- table-transformer
- License
- mit
- Created
- Nov 3, 2023
- Updated
- Nov 3, 2023