
Model that automatically classifies text messages as Racist or not Racist. 
* `LABEL_0` output indicates non-racist text
* `LABEL_1` output indicates racist text

# Data

Tweets from Benítez-Andrades et al. (2022) dataset and the Datathon Against Racism tweets dataset.
{"language": "es", "license": "mit", "widget": [{"text": "Los mejores libros de Abdulrazak Gurnah, el ganador del Nobel de Literatura.", "example_title": "Non-racist example"}, {"text": "Ya est\u00e1n detenidos dos rumanos se\u00f1alados de cometer fraudes bancarios.", "example_title": "Racist example"}]}
transformers pytorch bert text-classification es license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #es #license-mit #autotrain_compatible #endpoints_compatible #region-us 


Model that automatically classifies text messages as Racist or not Racist. 
* 'LABEL_0' output indicates non-racist text
* 'LABEL_1' output indicates racist text

# Data

Tweets from Benítez-Andrades et al. (2022) dataset and the Datathon Against Racism tweets dataset.
# Data

Tweets from Benítez-Andrades et al. (2022) dataset and the Datathon Against Racism tweets dataset.
TAGS
#transformers #pytorch #bert #text-classification #es #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Data

Tweets from Benítez-Andrades et al. (2022) dataset and the Datathon Against Racism tweets dataset.
passage: TAGS
#transformers #pytorch #bert #text-classification #es #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Data

Tweets from Benítez-Andrades et al. (2022) dataset and the Datathon Against Racism tweets dataset.