Edit model card

Model to predict whether a given text is racist or not:

  • LABEL_0 output indicates non-racist text
  • LABEL_1 output indicates racist text

Usage:

from transformers import pipeline

RACISM_MODEL = "davidmasip/racism"
racism_analysis_pipe = pipeline("text-classification",
                                model=RACISM_MODEL, tokenizer=RACISM_MODEL)

results = racism_analysis_pipe("Unos menas agreden a una mujer.")


def clean_labels(results):
    for result in results:
        label = "Non-racist" if results["label"] == "LABEL_0" else "Racist"
        result["label"] = label


clean_labels(results)
print(results)
Downloads last month
13
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for davidmasip/racism

Finetunes
4 models

Space using davidmasip/racism 1