- setup some Python 3.10+ env & activate it
- install Poetry package
- install dependencies with
poetry install
- create a folder named
results
in the project root directory - put content of the
results.zip
archive from the Google Drive into it - enjoy ;)
You can use the prompt_generation.ipynb
notebook as an example of how to use this code.
NB: You'll need a Huggingface API key to use LLM-related functions.
You can put it in a .env
file and use HUGGINGFACEHUB_API_TOKEN
key.
TODO
TODO