@sshleifer For testing purpose I converted the fairseqs mbart to transformers mbart where I ignored the decoder.output_projection.weight and uploaded the result to huggigface model hub as “cahya/mbart-large-en-de” (for some reason it doesn’t show up in https://huggingface.co/models but I can use/load it in script as pretrained model).
Since I want to know if the converted model works, I created a simple jupyter notebook (https://gist.github.com/cahya-wirawan/0e3eedbcd78c28602dbc554c447aed2a 12) to do translation following @BramVanroy suggestion. Before I tested with my converted mbart model, I tested it with “facebook/mbart-large-en-ro”, and the translation seems to work properly, but it doesn’t work if I use my mbart model.
Does it means that the converted mbart model is incomplete/corrupt since I ignored the “decoder.output_projection.weight”? Or did I miss something in the jupyter notebook? Thanks