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BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. You can use this model for text summarization.
Best for
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
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Provider
Learn how to use bart-large-cnn
💡 Tip: Start with the sample prompts above to see how bart-large-cnn works best.
Proven prompts shared by the community for this model