Good afternoon @philschmid,
I did notice that the script train.py of the notebook for multi-class text classification on SageMaker 1 is different than the script run_glue.py: the tokenization is doing in the notebook (in order to process data in the notebook instance with CPU and the tokenized data is sent to s3), not in the script train.py.
The reason is clear (why using GPU of the SageMaker training instance for tokenization when CPU is available in the notebook instance with a lower cost) but it means we need to change this for all tasks.
In particular, I’m interesting in the NER task.

Did anyone already publish a HF SageMaker notebook for NER with the associated script?
In general, Hugging Face plans to publish all these HF SageMaker notebooks for NLP tasks or not?