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ahmed0189
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mT5-Arabic-text-summarization

Transformers
PyTorch
Arabic
mt5
text2text-generation
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+ This model is a fine-tuned version of google/mt5-small trained for Arabic text summarization.
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+ This model is fine-tuned on BBC news articles (XL-Sum Arabic dataset), in which the first sentence (headline sentence) is used for summary and others are used for article.
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+ So, please fill news story (including, such as, event, background, result, and comment) as source text in the inferece widget. (Other corpra - such as, conversation, business document, academic paper, or short tale - are not seen in training set.)