Translate Dyula to French (HuggingFace)

An example of a machine translation model that translates Dyula to French by finetuning a pre-trained the t5-small model.

Usage

Running notebooks

Make sure you run your notebooks in the relevant virtual environments created below.

Set up your environment with the required dependencies.

• For data processing and training the model, set up the train environment by running the following:

  # Use Python 3.10
  
  # Initial setup
  python -m venv train-venv && source train-venv/bin/activate
  pip install -r notebooks/requirements.txt
  
  # Activate after setup (run every time)
  source train-venv/bin/activate

• 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.

  # 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 time)
  source serve-venv/bin/activate