 Using the models  ```python from transformers import AutoTokenzier, AutoModelForSeq2SeqLM  tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-large") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-large") ```  *Note: You will need to fine-tune the model on your downstream seq2seq task to use it. See an example [here](https://huggingface.co/gsarti/it5-base-nli).*  Flax and Tensorflow versions of the model are also available:  ```python from transformers import FlaxT5ForConditionalGeneration, TFT5ForConditionalGeneration  model_flax = FlaxT5ForConditionalGeneration.from_pretrained("gsarti/it5-large") model_tf = TFT5ForConditionalGeneration.from_pretrained("gsarti/it5-large") ```  