# Rag-END2END RETRIEVER

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Frag-end2end-retriever%2F33186%3E%5C
**Category:** Models\
**Created:** [March 6, 2023, 6:31pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Frag-end2end-retriever%2F33186 "2023-03-06T18:31:33Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![RajDoshi](https://avatars.discourse-cdn.com/v4/letter/r/a88e57/32.png) [@RajDoshi](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FRajDoshi)%5C
**Post date:** [March 6, 2023, 6:31pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Frag-end2end-retriever%2F33186%2F1 "2023-03-06T18:31:33Z")

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@shamanez  
Hi Shamanez,  
I just want to change my generator from Bart (the original RAG architecture) to a T5-based generator. Normally, changing the generator gives out poor results.  
Eg- Instead of generator= self.rag.generator  
if I change the generator=Autotokenizer.From\_pretrained(‘t5-small’) – This gives out bad results.  
I have also changed the generator tokenizer in distributed\_rag\_retriever still no avail!!!  
Need some hints or suggestions to change the generator from Bart-Large to T5 keeping other things intact.  
Thanks !!!