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  ## Model Details
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- ### Model Description
 
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- This AI text detector is built by fine-tuning RoBERTa-base on a dataset containing both human-written and AI-generated text samples. The model has been trained with data augmentation techniques to improve its robustness.
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Made with ❤️ by Abuzaid
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  ## How to use
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  ```python
 
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  ## Model Details
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+ ## AI-Generated Text Detector
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+ This repository contains a RoBERTa-based model trained to distinguish between AI-generated and human-written text. The model can help identify content created by large language models like ChatGPT, Claude, and other AI text generators.
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+ ## Model Description
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+ Architecture: RoBERTa-base fine-tuned for binary classification
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+ Task: Detecting whether text is written by a human (0) or generated by AI (1)
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+ Training Data: The model was trained on a balanced dataset of human-written and AI-generated texts
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+ Input: Text with maximum length of 256 tokens
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+ Output: Binary classification with probability score
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+
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+ ## Use Cases
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+ Content moderation: Identify AI-generated content in submissions
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+ Academic integrity: Help detect AI-generated essays or assignments
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+ Research: Study the differences between human and AI writing patterns
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+ Media verification: Support efforts to label AI-generated content.
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+ ## Limitations
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+ The model may not perform as well on:
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+ *Very short texts
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+ *Highly technical or specialized content
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+ *Content from newer AI models it wasn't trained on
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+ *Text that has been deliberately edited to evade detection
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+ The model should be used as a tool to assist human judgment, not as the sole decision-maker.
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  Made with ❤️ by Abuzaid
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  ## How to use
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  ```python