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Compiler0110/Text-Summarization-using-BART-Model

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In this project, we explore text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model, a state-of-the-art sequence-to-sequence model developed by Facebook AI. We utilise the CNN-DailyMail dataset, which contains news articles paired with human-generated summaries.

active 2024-05-12 → 2024-05-12 (UTC)

Partial coverage20,538 / 26,294 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-15 → 2026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
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4
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2
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0
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0
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Line chart, 1 days from 2024-05-12 to 2024-05-12. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Compiler01102200

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