What are Sequence to sequence models in transformers?

This recipe explains what are Sequence to sequence models in transformers.

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Recipe Objective - What are Sequence-to-sequence models in transformers?

The encoder and decoder of the original transformer are used in sequence-to-sequence models, which can be used for translation tasks or to convert other jobs to sequence-to-sequence problems. They may be fine-tuned for a variety of tasks, but translation, summarization, and question answering are the most natural uses. T5 is an example that can be fine-tuned for different jobs. The original transformer model is an example of such a model (just for translation).

Learn How to Build a Multi Class Text Classification Model using BERT

Types of Sequence-to-sequence models:

* BART
* MBart
* ProphetNet
* Pegasus
* T5
* MT5
* XLM-ProphetNet
* MarianMT

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