UBC-NLP
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AraT5-base

Arabic Machine Translation

Arabic Text Summarization

Arabic News Title and Question Generation

Arabic Paraphrasing and Transliteration

Arabic Code-Switched Translation

text-generation-inference

Inference Endpoints

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elmadany commited on Sep 28, 2021

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@@ -10,11 +10,10 @@ In addition, we provide the three models on two architectures small and base. Fo
 # How to use AraT5 models
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1GFOGolWPIfDvYdSNdGFrOXwu3Gu28k2b?usp=sharing)This is an example for fine-tuning **AraT5-base** for News Title Generation on the Aranews dataset
-For more details, please visit our own [GitHub](https://github.com/UBC-NLP/araT5).
 In addition, we release the fine-tuned checkpoint of the News Title Generation (NGT) which is described in the paper. The model available at Huggingface ([UBC-NLP/AraT5-base-title-generation](https://huggingface.co/UBC-NLP/AraT5-base-title-generation)).

 # How to use AraT5 models
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1GFOGolWPIfDvYdSNdGFrOXwu3Gu28k2b?usp=sharing)This is an example for fine-tuning **AraT5-base** for News Title Generation on the Aranews dataset
 In addition, we release the fine-tuned checkpoint of the News Title Generation (NGT) which is described in the paper. The model available at Huggingface ([UBC-NLP/AraT5-base-title-generation](https://huggingface.co/UBC-NLP/AraT5-base-title-generation)).
+For more details, please visit our own [GitHub](https://github.com/UBC-NLP/araT5).