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Successfully developed a French text summarization model using the MLSum dataset and a Seq2Seq architecture with attention mechanism to generate concise and coherent summaries from long-form news articles.
SayamAlt/MLSum-French-Summarization-using-Seq2Seq-Attention
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Successfully developed a French text summarization model using the MLSum dataset and a Seq2Seq architecture with attention mechanism to generate concise and coherent summaries from long-form news articles.
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