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ko-trocr

https://huggingface.co/ddobokki/ko-trocr

environment

python3.8

install

bash shell_scripts/install_bash.sh
pip install -re requirements.txt

run

  • data 폴더 아래에 open.zip (데이콘 데이터) 가 있어야함
cd data
unzip open.zip
cd ..
bash shell_scripts/preprocess.sh
bash shell_scripts/run_train.sh
bash shell_scropts/inference.sh

dirs

├── data
│   ├── open.zip
│   ├── preprocess
│   ├── sample_submission.csv
│   ├── test
│   ├── test.csv
│   ├── train
│   └── train.csv
├── arguments
│   ├── __init__.py
│   ├── DatasetsArguments.py
│   ├── ModelArguments.py
│   ├── MyTrainingArguments.py
│   └── __pycache__
├── utils
│   ├── __init__.py
│   ├── augmentation.py
│   ├── data_collator.py
│   ├── dataset_utils.py
│   └── training_utils.py
├── shell_scripts
│   ├── inference.sh
│   ├── install_base.sh
│   ├── pid_kill.sh
│   ├── preprocess.sh
│   └── run_train.sh
├── LICENSE
├── literal.py
├── output
├── preprocess.py
├── README.md
├── requirements.txt
├── inference.py
└── train.py

rule

  • 브랜치를 파서 main에 pr
  • 브랜치는 pr 별로 생성 및 삭제

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