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@@ -54,7 +54,7 @@ tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-base")
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  model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base")
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  ```
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- *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).*
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  Flax and Tensorflow versions of the model are also available:
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  model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base")
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  ```
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+ *Note: You will need to fine-tune the model on your downstream seq2seq task to use it. See an example [here](https://huggingface.co/it5/it5-base-news-summarization).*
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  Flax and Tensorflow versions of the model are also available:
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