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Home/Models/AI4Bharat - IndicNER: Named Entity Recognition Model

AI4Bharat - IndicNER: Named Entity Recognition Model

IndicNER is a model trained to complete the task of identifying named entities from sentences in Indian languages. The model is specifically fine-tuned to the 11 Indian languages mentioned above over millions of sentences.

About Model

IndicNER is a model trained to complete the task of identifying named entities from sentences in Indian languages. The model is specifically fine-tuned to the 11 Indian languages mentioned above over millions of sentences. The model is then benchmarked over a human annotated testset and multiple other publicly available Indian NER datasets. The 11 languages covered by IndicNER are: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu.

AI4Bharat - IndicNER: Named Entity Recognition Model

Metadata Metadata

MIT

Mhaske, Arnav and Kedia, Harshit and Doddapaneni, Sumanth and Khapra, Mitesh M. and Kumar, Pratyush and Murthy, Rudra and Kunchukuttan, Anoop

Token Classification Model

N.A.

Open

AI4Bharat

Sector Agnostic

02/05/25 11:01:12

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 11
  • Views 85
  • File Size 0

Tags Tags

  • Bert
  • NER
  • PyTorch
  • Transformer
  • Multilingual
  • NLP
  • indicnlp

License Control License Control

MIT

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