Installation

Using Pip

For the simplest case, use pip install renard-pipeline. By default, this installs the cuda version of PyTorch. For other versions:

CPU only: pip install torch --index-url https://download.pytorch.org/whl/cpu && pip install renard-pipeline

ROCM 6.4: pip install torch --index-url https://download.pytorch.org/whl/rocm6.4 && pip install renard-pipeline

Note that for some modules, you might need to install additional libraries:

stanza (pip install stanza), for the Stanford CoreNLP pipeline
spacy (pip install spacy coreferee), for the Spacy coreference resolver Coreferee

The project uses uv to manage dependencies. Use :

uv sync to install dependencies
uv run python my_script.py to run a script under the virtual environment with dependencies