metadata

language:
  - ne
  - en
  - multilingual
license: mit
tags:
  - codeswitching
  - nepali-english
  - language-identification
datasets:
  - lince

codeswitch-nepeng-lid-lince

This is a pretrained model for language identification of nepali-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

Identify Language

Method-1


from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-nepeng-lid-lince")

model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-nepeng-lid-lince")
lid_model = pipeline('ner', model=model, tokenizer=tokenizer)

lid_model("put any nepali english code-mixed sentence")

Method-2

from codeswitch.codeswitch import LanguageIdentification
lid = LanguageIdentification('nep-eng') 
text = "" # your code-mixed sentence 
result = lid.identify(text)
print(result)