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:
- Introduction to deepdoctection
- Analyzer
- Output structure.
- Creation of custom datasets
- Evaluation
- Fine tuning models
- 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
Running_pre_trained_models_from_other_libraries.ipynb
- Installing and running pre-trained models provided by Layout-Parser
- Adding new categories
To use the notebooks deepdoctection must be installed.