transformers/model_cards/sagorsarker/codeswitch-spaeng-ner-lince

language	datasets	license	tags
es en	lince	MIT	codeswitching spanish-english ner

codeswitch-spaeng-ner-lince

This is a pretrained model for Name Entity Recognition 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

Name Entity Recognition of Spanish-English Mixed Data

• Method-1

from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-spaeng-ner-lince")

model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-spaeng-ner-lince")

ner_model = pipeline('ner', model=model, tokenizer=tokenizer)

ner_model("put any spanish english code-mixed sentence")

• Method-2

from codeswitch.codeswitch import NER
ner = NER('spa-eng')
text = "" # your mixed sentence 
result = ner.tag(text)
print(result)