# clone the project
git git@github.com:celsofranssa/comp_interpolation.git
# change directory to project folder
cd comp_interpolation/
# Create a new virtual environment by choosing a Python interpreter
# and making a ./venv directory to hold it:
virtualenv -p python3 ./venv
# activate the virtual environment using a shell-specific command:
source ./venv/bin/activate
# install dependecies
pip install -r requirements.txt
# setting python path (if you need)
export PYTHONPATH=$PATHONPATH:<path-to-project-dir>/comp_interpolation/
# (if you need) to exit virtualenv later:
deactivate
The following bash command save the configs to a saved.config.yaml with the correct interpolation
python main.py model=gpt
If all goes well the following output should be produced a saved.config.yaml
file with the following content:
name: gpt
predictions:
path: ../resources/predictions/gpt_dataset_02_predictions.pt