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roberta-racial-language-detector
mohawwad93/roberta-racial-language-detector
roberta-racial-language-detector is a text classification model from mohawwad93. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of roberta-base trained on a unified dataset combining multiple hate speech and racial bias benchmark datasets.
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.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Oct 7, 2026
- SHA
- 628968c8
Try a prompt
Model card
From the Hugging Face model README
Racial Language & Bias Detection Model
This model is a fine-tuned version of roberta-base trained on a unified dataset combining multiple hate speech and racial bias benchmark datasets.
Label Mapping
NEUTRAL(0): Safe, non-offensive, or general language.FLAGGED(1): Hate speech, racial bias, or offensive targeted language.
Quickstart Inference
from transformers import pipeline
classifier = pipeline("text-classification", model="mohawwad93/roberta-racial-language-detector")
results = classifier("Your input text here...")
print(results)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- Sep 20, 2026
- Updated
- Oct 7, 2026