Loading mbart-large-50-one-to-many-mmt is very slow
Whenever i try to run :
model = MBartForConditionalGeneration.from_pretrained(" [local path]/mbart-large-50-one-to-many-mmt")
My computer ether freezes or it takes 15-20 minutes to load the model.

I am using it for translation 
Code: https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt

Any solution fo this?

-Thanks
Hi there, `mbart-50` is actlly a big model and takes a while to load. But 15-20 min seems a lot, it's could probably an issue with your system. You could try to load it using a colab and see how much time it takes.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.