table-transformer-structure-recognition
Modelo de detección de objetos de 28M parámetros de Microsoft que reconoce la estructura de tablas y los límites de celdas en imágenes de documentos.
Tarjeta del Modelo
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 the structure (like rows, columns) in tables. See the documentation for more info.
Regístrate para leer casos de estudio completos, acceder a métricas detalladas y recibir todos los reportes.
Regístrate para leer casos de estudio completos, acceder a métricas detalladas y recibir todos los reportes.