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![]() * added bangla-bert-base * Apply suggestions from code review Co-authored-by: Julien Chaumond <chaumond@gmail.com> |
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README.md |
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MIT |
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codeswitch-spaeng-pos-lince
This is a pretrained model for Part of Speech Tagging of spanish-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 Spanish-English Mixed Data
- Method-1
from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-spaeng-pos-lince")
model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-spaeng-pos-lince")
pos_model = pipeline('ner', model=model, tokenizer=tokenizer)
pos_model("put any spanish english code-mixed sentence")
- Method-2
from codeswitch.codeswitch import POS
pos = POS('spa-eng')
text = "" # your mixed sentence
result = pos.tag(text)
print(result)