Sagor SarkerandJulien Chaumond
4753816e39
* added bangla-bert-base * Apply suggestions from code review Co-authored-by: Julien Chaumond <chaumond@gmail.com>
1.1 KiB
1.1 KiB
language, datasets, license, tags
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MIT |
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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
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
from codeswitch.codeswitch import NER
ner = NER('hin-eng')
text = "" # your mixed sentence
result = ner.tag(text)
print(result)