# Ensemble Prompting - Seq2Seq

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fensemble-prompting-seq2seq%2F22725%3E%5C
**Category:** 🤗Transformers\
**Created:** [September 8, 2022, 2:17am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fensemble-prompting-seq2seq%2F22725 "2022-09-08T02:17:23Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![mareloraby](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/mareloraby/32/5955_2.png) [@mareloraby](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fmareloraby)%5C
**Post date:** [September 8, 2022, 2:17am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fensemble-prompting-seq2seq%2F22725%2F1 "2022-09-08T02:17:23Z")

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I’ve trained two BERT2BERT models to generate text based on two different prompt types. I’m wondering if it’s possible to decode generations using both models at the same time?