specific characteristics of this particular checkpoint, e.g. On which dataset was the checkpoint
pretrained/fine-tuned on? On what down-stream task should the model be used? And also include some code on how to
correctly use the model.
13. (Optional) Add notebook
It is very helpful to add a notebook that showcases in-detail how brand_new_bert can be used for inference and/or
fine-tuned on a downstream task. This is not mandatory to merge your PR, but very useful for the community.
14. Submit your finished PR
You're done programming now and can move to the last step, which is getting your PR merged into master. Usually, the
Hugging Face team should have helped you already at this point, but it is worth taking some time to give your finished
PR a nice description and eventually add comments to your code, if you want to point out certain design choices to your
