GitHub - SayamAlt/MLSum-French-Summarization-using-Seq2Seq-Attention: 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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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
train		train
validation		validation
.gitignore		.gitignore
mlsum-french-summarization-using-seq2seq.ipynb		mlsum-french-summarization-using-seq2seq.ipynb
model.png		model.png
projector_config.pbtxt		projector_config.pbtxt

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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.