| license: mit | |
| widget: | |
| - src: https://www.invoicesimple.com/wp-content/uploads/2018/06/Sample-Invoice-printable.png | |
| example_title: Invoice | |
| # 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](https://arxiv.org/abs/2110.00061) by Smock et al. and first released in [this repository](https://github.com/microsoft/table-transformer). | |
| 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](https://huggingface.co/docs/transformers/model_doc/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](https://huggingface.co/docs/transformers/main/en/model_doc/table-transformer) for more info. |