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racism
davidmasip/racism
racism is a text classification model from davidmasip. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc.
Model to predict whether a given text is racist or not: LABEL0 output indicates non-racist text LABEL1 output indicates racist text
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc
- Model type
- roberta
- Access
- Public
- Created
- Mar 16, 2022
- Updated
- Mar 31, 2022
- SHA
- fa50338f
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Model card
From the Hugging Face model README
Model to predict whether a given text is racist or not:
LABEL_0output indicates non-racist textLABEL_1output 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)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- cc
- Languages
- es
- Created
- Mar 16, 2022
- Updated
- Mar 31, 2022