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Longt5 fix link in docs #18634

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Aug 16, 2022
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Longt5 fix link in docs #18634

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2 changes: 1 addition & 1 deletion docs/source/en/model_doc/longt5.mdx
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Expand Up @@ -37,7 +37,7 @@ Tips:
- [`LongT5ForConditionalGeneration`] is an extension of [`T5ForConditionalGeneration`] exchanging the traditional
encoder *self-attention* layer with efficient either *local* attention or *transient-global* (*tglobal*) attention.
- Unlike the T5 model, LongT5 does not use a task prefix. Furthermore, it uses a different pre-training objective
inspired by the pre-training of `[PegasusForConditionalGeneration]`.
inspired by the pre-training of [`PegasusForConditionalGeneration`].
- LongT5 model is designed to work efficiently and very well on long-range *sequence-to-sequence* tasks where the
input sequence exceeds commonly used 512 tokens. It is capable of handling input sequences of a length up to 16,384 tokens.
- For *Local Attention*, the sparse sliding-window local attention operation allows a given token to attend only `r`
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