Vietnamese spelling correction model: a BARTpho / MBart seq2seq model (~400M parameters), quantized to INT8 for inference on CPU. Two formats ship in this repository: CTranslate2 (ct2/) and ONNX Runtime (onnx/). This repository holds the model weights used by the Python package orthomni-codeco on PyPI. You normally don't download these files by hand: the package fetches the files of the backend you use on first run. Requires Python >= 3.9. PyTorch is not needed: the default runtime dependencies are only ctranslate2, numpy, sentencepiece and huggingface-hub. Create the model once and reuse it. Later runs load from the local cache and work offline. An async variant is also available: To use…