This project aims to predict the properties of Deep Eutectic Solvents (DESs) using CET model.
- Clone the repository:
git clone https://github.com/your_username/my_project.git
- Navigate to the project directory:
cd my_project
- Install the required dependencies:
pip install -r requirements.txt
To run the main script, use the following command:
python main.py --model chemberta
You can also choose to use the K-BERT model:
python main.py --model kbert
Here is an example of how to use the project:
- Ensure you have the necessary data file (e.g.,
compound_data.xlsx
) in the appropriate path. - Run the main script with the desired model:
or
python main.py --model chemberta
python main.py --model kbert
This will preprocess the data, extract features using the chosen model, and evaluate the regression models.