This project provides a sample code for training the model described in Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision (in submission).
To train a model,
- Create conda environment:
conda env create -f conda_env.yml - Activate conda environemnt:
conda activate onco_env - Train toy model:
python train_example.py
If there is an "Invalid version: '0.10.1,<0.11" error, try pip uninstall tokenizers.
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