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suriya7/bart-finetuned-text-summarization

Summarization·suriya7· 264· 9
transformers mit Summarization 406.3M params dataset:EdinburghNLP/xsumlicense:mitregion:us

This model is based on the Facebook BART (Bidirectional and Auto-Regressive Transformers) architecture, specifically the large variant fine-tuned for text summarization tasks. BART is a sequence-to-sequence model introduced by Facebook AI, capable of handling various natural language processing tasks, including summarization.

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Model details

Task
Summarization
Provider
suriya7
Framework
transformers
Parameters
406.3M
Size
1.5 GB
License
mit
Downloads
264
Likes
9
Updated
2024-03-24

About suriya7/bart-finetuned-text-summarization

This model is based on the Facebook BART (Bidirectional and Auto-Regressive Transformers) architecture, specifically the large variant fine-tuned for text summarization tasks. BART is a sequence-to-sequence model introduced by Facebook AI, capable of handling various natural language processing tasks, including summarization.

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