)
print(tokenizer.batch_decode(output_sequences, skip_special_tokens=True))
['Das Haus ist wunderbar.', 'Ich arbeite gerne in NYC.']
```
Example scripts
T5 is supported by several example scripts, both for pre-training and fine-tuning.
pre-training: the run_t5_mlm_flax.py
  script allows you to further pre-train T5 or pre-train T5 from scratch on your own data. The t5_tokenizer_model.py
  script allows you to further train a T5 tokenizer or train a T5 Tokenizer from scratch on your own data. Note that
  Flax (a neural network library on top of JAX) is particularly useful to train on TPU hardware.
fine-tuning: T5 is supported by the official summarization scripts (PyTorch, Tensorflow, and Flax) and translation scripts
  (PyTorch and Tensorflow). These scripts allow
  you to easily fine-tune T5 on custom data for summarization/translation.
