| This model is a fine-tuned version of google/mt5-small trained for Arabic text summarization. | |
| 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. | |
| 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.) |