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In this repo you will find jupyter notebooks that used to be in the main repo deepdoctection.

In addition, the repo contains a folder with examples that are used in the notebooks.

The following notebooks are stored:

Get_Started.ipynb:

• Introduction to deepdoctection
• Analyzer
• Output structure.

Datasets_and_Eval.ipynb:

• Creation of custom datasets
• Evaluation
• Fine tuning models

Custom_Pipeline.ipynb:

• Model catalog and registries
• Predictors
• Pipeline backbones
• Pipelines.

Using_LayoutLM_for_sequence_classification.ipynb:

• Fine tuning LayoutLM for sequence classification on a custom dataset
• Evaluation Building and running a production pipeline

To use the notebooks deepdoctection must be installed.