opus mt en id

Introduction

The OPUS-MT-EN-ID model is developed by the Language Technology Research Group at the University of Helsinki. It is a translation model specifically designed to translate from English (en) to Indonesian (id), utilizing the Marian NMT framework.

Architecture

The model is based on the transformer architecture with alignment, using the OPUS dataset. It includes pre-processing steps such as normalization and tokenization with SentencePiece. The original weights and test sets are available for download, facilitating reproducibility and further experimentation.

Training

The model was trained using the OPUS dataset, which is a collection of translated texts. The model employs the transformer with alignment architecture, common in modern translation systems, to improve translation accuracy. The training process incorporated pre-processing methods like normalization and SentencePiece tokenization to prepare the data for the model.

Guide: Running Locally

To run the model locally, follow these steps:

1. Setup Environment: Install Python and necessary libraries like transformers and torch.
2. Download Model: Access the model files from Hugging Face's model hub.
3. Load Model: Use the Hugging Face transformers library to load and initialize the model.
4. Run Inference: Input your text and obtain translations.

For enhanced performance, consider using cloud GPUs such as those offered by AWS or Google Cloud.

License

The model is distributed under the Apache 2.0 License. This license allows for both personal and commercial use, modifications, and distribution, as long as proper attribution is given to the original creators.