Model Card for MADLAD 400 3B MT Table of Contents 0. TL;DR 1. Model Details 2. Usage 3. Uses 4. Bias, Risks, and Limitations 5. Training Details 6. Evaluation 7. Environmental Impact 8. Citation TL;DR MADLAD 400 3B MT is a multilingual machine translation model based on the T5 architecture that was trained on 1 trillion tokens covering over 450 languages using publicly available data. It is competitive with models that are significantly larger. Disclaimer : Juarez Bochi, who was not involved in this research, converted the original weights and wrote the contents of this model card based on the original paper and Flan T5. Model Details Model Description Model type: Language model Language(s) (NLP): Multilingual (400+ languages) License: Apache 2.0 Related Models: All MADLAD 400 Checkpoints Original Checkpoints: All Original MADLAD 400 Checkpoints Resources for more information: Research paper GitHub Repo Hugging Face MADLAD 400 Docs (Similar to T5) Pending PR Usage Find below some example scripts on how to use the model: Using the Pytorch model with transformers Running the model on a CPU or GPU Click to expand First, install the Python packages that are required: pip install transf…
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