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mT5-Arabic-text-summarization
ahmed0189/mT5-Arabic-text-summarization
mT5-Arabic-text-summarization is a machine learning model from ahmed0189. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of google/mt5-small trained for Arabic text summarization.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jun 20, 2023
- Updated
- Jun 20, 2023
- SHA
- 6e7c6897
Datasets
Model card
From the Hugging Face model README
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.)
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Languages
- ar
- Created
- Jun 20, 2023
- Updated
- Jun 20, 2023