"cute", the encoder input becomes “My  very  .” and the target input becomes “ dog is  cute .”
The library provides a version of this model for conditional generation.
MT5
mT5: A massively multilingual pre-trained text-to-text transformer, Linting Xue
et al.
The model architecture is same as T5. mT5's pretraining objective includes T5's self-supervised training, but not T5's
supervised training. mT5 is trained on 101 languages.
The library provides a version of this model for conditional generation.
MBart
Multilingual Denoising Pre-training for Neural Machine Translation by Yinhan Liu,
Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer.
The model architecture and pretraining objective is same as BART, but MBart is trained on 25 languages and is intended
