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https://api-inference.huggingface.co/models/sagorsarker/codeswitch-hineng-pos-lince
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sagorsarker/codeswitch-hineng-pos-lince sagorsarker/codeswitch-hineng-pos-lince
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pytorch

tf

Contributed by

sagorsarker Sagor Sarker
9 models

How to use this model directly from the 🤗/transformers library:

			
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from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-hineng-pos-lince") model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-hineng-pos-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)