# Fine tune model='facebook/bart-large-mnli'

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**Category:** Intermediate\
**Created:** [May 16, 2022, 11:32am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ffine-tune-model-facebook-bart-large-mnli%2F17998 "2022-05-16T11:32:22Z")\
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**Author:** ![mausci69](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/mausci69/32/4679_2.png) [@mausci69](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fmausci69)%5C
**Post date:** [May 16, 2022, 11:32am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ffine-tune-model-facebook-bart-large-mnli%2F17998%2F1 "2022-05-16T11:32:22Z")

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Hello,  
I am looking for an effective and functioning method to fine tune a model=‘facebook/bart-large-mnli’. I use it because it is a zero-shot-classification model, but is there any way to improve/customize its performances?

Thanks in advance

Hello everyone,  
I am looking for a way to train the model used by zero-shot-classification pipeline, that is bart-large-mnli, with TensorFlow. The idea is to fine-tune it on the text I use for my tests. Am I correct saying this is available just with PyTorch? Is there a similar model I could use?

Thanks in advance