This is an open-source text classification model hosted on Hugging Face that predicts gender from input text. It is based on the DeBERTa-v2 architecture and was trained on multiple datasets for English language gender prediction tasks. Developers can load and run it using the Transformers library for integration into applications requiring demographic inference from text.
Gender Prediction Model From Text sits in PulseGate's Other AI category. It focuses on predicting gender from textual data without building a custom model. It is built as an open-source project for developers. Gender Prediction Model From Text is open source under the MIT license. Gender Prediction Model From Text is available on the web and API.
Behind Gender Prediction Model From Text is ariyul, and the product first shipped in 2025. Key capabilities include Text Classification, deBERTa-v2, and Gender Prediction.
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