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.

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)
New: fine-tune this model in a few clicks by selecting AutoNLP in the "Train" menu!
Downloads last month
Hosted inference API
Token Classification
This model can be loaded on the Inference API on-demand.