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README.md

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 pipeline_tag: text-classification
 library_name: transformers
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-# Model Card for Model ID
+# Model Card for Roberta-toxic
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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+**RoBERTa-toxic: A Robust Toxicity Prediction Model**
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+RoBERTa-toxic leverages the power of the RoBERTa (Robustly Optimized BERT Pretraining Approach) transformer model to analyze text inputs and predict an array of toxicity categories. Fine-tuned for identifying nuanced toxic behaviors such as hate speech, harassment, profanity, and harmful stereotypes, it delivers accurate, context-aware predictions. The model is tailored for applications like content moderation, social media analysis, and safe online interactions, providing multi-label outputs for comprehensive toxicity profiling.
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 ## Model Details