add new lables as per new data received to existing data set and retrain the NER model

hi @Vishal112!

If you decide to retrain (i.e., don't start with a blank:en but a previously trained model), be aware, you'll likely run into problems of catastrophic forgetting. There's not an easy solution to this except being aware that if you retrain with an imbalance of examples (e.g., only retraining on new NER entities), your model may forget the old entities.