DistilBART CNN is an open-source sequence-to-sequence model fine-tuned for abstractive news summarization. Developers and researchers can run it with Transformers and related ML tooling or deploy it through supported inference services.
Distilbart Cnn 12 6 sits in PulseGate's Foundation models & chat category. It focuses on summarizing long documents into shorter, readable text. Distilbart Cnn 12 6 is an open-source project aimed at machine learning developers and NLP researchers. Distilbart Cnn 12 6 is open source under the Open Source license. It ships for the web and API, and it can be self-hosted.
It is developed by sshleifer. Among its 9 catalogued features are text summarization, abstractive generation, and transformer architecture.
Summary written by a language model from the project’s public pages.
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