microsoft / table-transformer-detection

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Model's Last Updated: September 06 2023
object-detection

Introduction of table-transformer-detection

Model Details of table-transformer-detection

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.

Runs of microsoft table-transformer-detection on huggingface.co

3.6M
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More Information About table-transformer-detection huggingface.co Model

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table-transformer-detection huggingface.co

table-transformer-detection huggingface.co is an AI model on huggingface.co that provides table-transformer-detection's model effect (), which can be used instantly with this microsoft table-transformer-detection model. huggingface.co supports a free trial of the table-transformer-detection model, and also provides paid use of the table-transformer-detection. Support call table-transformer-detection model through api, including Node.js, Python, http.

table-transformer-detection huggingface.co Url

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microsoft table-transformer-detection online free

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table-transformer-detection install

table-transformer-detection is an open source model from GitHub that offers a free installation service, and any user can find table-transformer-detection on GitHub to install. At the same time, huggingface.co provides the effect of table-transformer-detection install, users can directly use table-transformer-detection installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

table-transformer-detection install url in huggingface.co:

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