Hi @goutham794,
you could train a multi-lingual NER model on the WikiANN dataset (or better: use the train/dev/test partitioned from https://github.com/afshinrahimi/mmner 90).
But fine-tuning one big multi-lingual NER model could be very complicated (fine-tuning instabilities). And you should keep in mind, that WikiANN only has three label types.
If you already know what languages you want to cover, then a better way would be to train “mono-lingual” models + just search for NER datasets for your desired languages. Good resource is:

  
      
      GitHub
  
  
    

juand-r/entity-recognition-datasets 107

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types. - juand-r/entity-recognitio...