A distilled version of OpenAI's GPT-2 model that maintains much of the original capability while being significantly smaller and faster. Trained on OpenWebText, it is suitable for text generation, completion, and other language tasks where a smaller model footprint is preferred. The model is available through the Hugging Face transformers library.
Gpt2 Mini sits in PulseGate's Text generation category. It focuses on providing a lightweight language model for text generation with significantly lower computational requirements than full GPT-2. It is built as an open-source project for developers. Gpt2 Mini is open source under the Open Source license. It runs on the web, the command line, and API.
It is developed by erwanf. Among its 3 catalogued features are Text Generation, Distilled Model, and Small Footprint.
Summary written by a language model from the project’s public pages.
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