This package provides a utilities for performing training and inference with LLMs, and a demo gradio application showcasing the inference on trained models.
Each of the components is exposed as library functions but also have command line interface (CLI) counterpart.
For CLI usage, see the inline help provided by the CLI:
python -m techiaith.mimic --helptechiaith-mimic is developed and maintained by the Uned Technolegau Iaith (UTI) https://techiaith.cymru/ team, backed by Bangor University.
https://bangor.ac.uk/.
Techiaith UTI is a self-funded research unit that develops technologies for the Welsh language.
To learn more about who specifically contributed to this codebase, see our contributors page.
This code is made available under the MIT License.
Install this package from PyPI with pip using a venv or mamba/conda environment:
pip install techiaith-mimicor directly from github:
pip install [email protected]:techiaith/mimic.gitConfigure your development environment to use the tools refered to in the pyproject.toml file (mypy, ruff, black).
Change the version as appropriate in pyproject.toml, then build, check and upload:
pip install build twine
python -m build
python -m twine check dist/*
python -m twine upload dist/*