README.md

metadata

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

codeswitch-hineng-pos-lince

This is a pretrained model for Part of Speech Tagging 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

Part-of-Speech Tagging of Hindi-English Mixed Data

• Method-1

from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline

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

model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-hineng-pos-lince")
pos_model = pipeline('ner', model=model, tokenizer=tokenizer)

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

• Method-2

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