From 0b1b45d3826a21a8efb6260ed0155213bc45b2d8 Mon Sep 17 00:00:00 2001 From: Niels Rogge Date: Fri, 14 Oct 2022 12:16:08 +0000 Subject: [PATCH] Create README.md --- README.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..5edcd4c --- /dev/null +++ b/README.md @@ -0,0 +1,17 @@ +--- +license: mit +--- + +# Table Transformer (fine-tuned for Table Structure Recognition) + +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 the structure (like rows, columns) in tables. See the [documentation](https://huggingface.co/transformers/main/model_doc/table_transformer.html). for more info. \ No newline at end of file