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codeswitch-hineng-ner-lince – AI Model by sagorsarker | AlphaNeural AI

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sagorsarker/
codeswitch-hineng-ner-lince

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token-classification

autotrain_compatible

endpoints_compatible

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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

py

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

py

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