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token-classification mask_token: [MASK]
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Contributed by

sagorsarker Sagor Sarker
10 models


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.

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)