riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-30 01:32:23 +06:00
Code Issues Actions 32 Packages Projects Releases Wiki Activity
77c8f6c627
transformers/model_cards/sagorsarker/codeswitch-spaeng-sentiment-analysis-lince
History
Sagor Sarker 4753816e39
added bangla-bert-base model card and also modified other model cards (#7071) 
* added bangla-bert-base

* Apply suggestions from code review

Co-authored-by: Julien Chaumond <chaumond@gmail.com>
2020-09-11 15:17:25 -04:00
..
README.md added bangla-bert-base model card and also modified other model cards (#7071) 2020-09-11 15:17:25 -04:00

README.md

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

codeswitch-spaeng-sentiment-analysis-lince

This is a pretrained model for Sentiment Analysis 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

Sentiment Analysis of Spanish-English Code-Mixed Data

  • Method-1

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

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

model = AutoModelForSequenceClassification.from_pretrained("sagorsarker/codeswitch-spaeng-sentiment-analysis-lince")

nlp = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
sentence = "El perro le ladraba a La Gatita .. .. lol #teamlagatita en las playas de Key Biscayne este Memorial day"
nlp(sentence)
  • Method-2
from codeswitch.codeswitch import SentimentAnalysis
sa = SentimentAnalysis('spa-eng')
sentence = "El perro le ladraba a La Gatita .. .. lol #teamlagatita en las playas de Key Biscayne este Memorial day"
result = sa.analyze(sentence)
print(result)