I would love to see some notebooks for token classification. I was recently going through the Trainer run_ner.py example and was not having a great time. The preprocessing/data formatting is not very clear.
I had a really great time going through some of the other notebooks that used transformers on https://notebooks.quantumstat.com/ 4, however they are often out-of-date. If you could keep an up to date version where you touch each portion of what the pipeline handles for you, I would have a much easier time recommending transformers to my colleagues who are maybe aren’t able to find outside resources to learn from.