distilbart-xsum-12-6 is a distilled version of the BART model trained on the XSum and CNN/DailyMail datasets for extreme summarization. It produces single-sentence summaries from news articles and documents. The model is available in PyTorch and JAX through the Hugging Face Transformers library and supports deployment on Azure.
Distilbart Xsum 12 6 is a Foundation models & chat project. It focuses on generating concise summaries of long documents with a smaller, faster model than full BART. Distilbart Xsum 12 6 is an open-source project aimed at NLP developers and researchers. The project is open source (Open Source). Distilbart Xsum 12 6 is available on the web and API.
sshleifer builds and maintains Distilbart Xsum 12 6. Among its 3 catalogued features are Text Summarization, Distilled Model, and CNN/DailyMail Trained.
Summary written by a language model from the project’s public pages.
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