Model Card for BERT AI Detector Model Details Model Description This model is a fine tuned BERT designed to classify text as either AI generated or human written. The model was trained on data from the Kaggle LLM Detect competition using variable length text inputs ranging from 5 to 100 words. The fine tuned model achieves high accuracy in identifying the source of the text, making it a valuable tool for detecting AI generated content. Developed by: Pritam Language(s) (NLP): English License: Apache 2.0 Finetuned from model: BERT (base uncased) Model Sources Repository: Hugging Face Model Card Demo: Streamlit Interface Uses Direct Use The model is intended for use in detecting whether text is AI generated or human written. Users can input text snippets into the demo or directly integrate the model into their applications for automated content classification. Downstream Use Potential downstream uses include: Moderating AI generated content in online platforms. Academic and journalistic content verification. Detecting plagiarism or misuse of AI writing tools. Out of Scope Use The model is not suitable for: Detecting deeply paraphrased AI generated text. Analysis of languages other tha…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy