iAbdelRahim/nllb_600m_mt_dyu_fr

training and serving facebook nllb 600m model for machine translation from dyula to french # Translate dyula to French An example of a machine translation model that translates dyula to French. ## Usage ### Running notebooks > Make sure you run your notebooks in the relevant virtual environments created below. 1. Set up your environment with the required dependencies. > You can run these commands from any directory but we recommend running them from the example root directory (where this README is). - For model serving and inference, set up the `serve` environment by running the following: > Make sure you uncomment the `ipykernel` requirement in the `requirements.txt` file before running the commands below if you want to run the inference notebook. ```shell # Use Python 3.10 # Initial setup python -m venv .serve.venv && source .serve.venv/bin/activate pip install -r deployment/requirements.txt # Activate after setup (run every other time) source .serve.venv/bin/activate ```