Few-Shot Named Entity Recognition work about setfit HOT 3 OPEN

Hi all, I think it will be a great success to extend this to token-classification too. Have you thought about something along the lines of the followings:

• Keybert (https://github.com/MaartenGr/KeyBERT)
• TARS (https://github.com/flairNLP/flair/blob/master/resources/docs/TUTORIAL_10_TRAINING_ZERO_SHOT_MODEL.md) which is from FLAIR - Please see (Use Case 2: Zero-shot Named Entity Recognition (NER) with TARS - in the notebook)

I think specially something along the lines of KeyBert or TARS might already be something that is usable

@hooman650

from setfit.

Hey @zhanghaok thanks for your interest! We haven't quite figured yet out how to apply SetFit in token classification tasks, but we will certainly add support to the library if we can make it work well :)

Thanks for your reply, look forward to it being used in few-shot named entity recognition , come on!💪

from setfit.

Hey @zhanghaok thanks for your interest! We haven't quite figured yet out how to apply SetFit in token classification tasks, but we will certainly add support to the library if we can make it work well :)

from setfit.