# BART finetuning for summarization without seq2seq trainer

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fbart-finetuning-for-summarization-without-seq2seq-trainer%2F25195%3E%5C
**Category:** Beginners\
**Created:** [October 29, 2022, 4:31pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fbart-finetuning-for-summarization-without-seq2seq-trainer%2F25195 "2022-10-29T16:31:01Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![mse30](https://avatars.discourse-cdn.com/v4/letter/m/3be4f8/32.png) [@mse30](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fmse30)%5C
**Post date:** [October 29, 2022, 4:31pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fbart-finetuning-for-summarization-without-seq2seq-trainer%2F25195%2F1 "2022-10-29T16:31:01Z")

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Hello, I am looking for an example code for BART finetuning with huggingface (not fairseq) without the seq2seq trainer  
Any guidance here?

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**Author:** ![thies](https://avatars.discourse-cdn.com/v4/letter/t/ed655f/32.png) [@thies](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fthies)%5C
**Post date:** [October 31, 2022, 8:19am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fbart-finetuning-for-summarization-without-seq2seq-trainer%2F25195%2F2 "2022-10-31T08:19:40Z")

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Maybe you can tgry this one:

> <https://github.com/huggingface/transformers/blob/main/examples/pytorch/summarization/run_summarization_no_trainer.py>