pytorch mt5 seq2seq transformers text2text-generation
.gitattributes README.md config.json eval.py eval_results.txt model_args.json pytorch_model.bin special_tokens_map.json spiece.model tokenizer_config.json training_args.bin training_progress_scores.csv best_model/config.json best_model/eval_results.txt best_model/model_args.json best_model/optimizer.pt best_model/pytorch_model.bin best_model/scheduler.pt best_model/special_tokens_map.json best_model/spiece.model best_model/tokenizer_config.json best_model/training_args.bin checkpoint-50796-epoch-1/config.json checkpoint-50796-epoch-1/model_args.json checkpoint-50796-epoch-1/optimizer.pt checkpoint-50796-epoch-1/pytorch_model.bin checkpoint-50796-epoch-1/scheduler.pt checkpoint-50796-epoch-1/special_tokens_map.json checkpoint-50796-epoch-1/spiece.model checkpoint-50796-epoch-1/tokenizer_config.json checkpoint-50796-epoch-1/training_args.bin
you can use this model with simpletransfomers.
```
!pip install simpletransformers
from simpletransformers.t5 import T5Model

model = T5Model("mt5", "AimB/mT5-en-kr-natural")
print(model.predict(["I feel good today"]))
print(model.predict(["우리집 고양이는 세상에서 제일 귀엽습니다"]))
```