README.md

metadata

language:
  - hi
  - en
  - multilingual
license: mit
tags:
  - codeswitching
  - hindi-english
  - ner
datasets:
  - lince

codeswitch-hineng-ner-lince

This is a pretrained model for Name Entity Recognition of Hindi-english code-mixed data used from LinCE

This model is trained for this below repository.

https://github.com/sagorbrur/codeswitch

To install codeswitch:

pip install codeswitch

Name Entity Recognition of Code-Mixed Data

• Method-1

from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-hineng-ner-lince")

model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-hineng-ner-lince")

ner_model = pipeline('ner', model=model, tokenizer=tokenizer)

ner_model("put any hindi english code-mixed sentence")

• Method-2

from codeswitch.codeswitch import NER
ner = NER('hin-eng')
text = "" # your mixed sentence 
result = ner.tag(text)
print(result)