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@@ -52,9 +52,11 @@ This amharic text dataset can be used to train/finetune models for the following
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  * **summarization** : using the headlines
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  ## Finetuning
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- Here is a github repo that contains two notebooks that use this dataset to finetune the following models
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- * [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) : a multilingual transformer model with `280M parameters`
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- * [bert-mini-amharic](rasyosef/bert-mini-amharic) : a new amharic language model with `7.8M parameters`
 
 
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  https://github.com/rasyosef/amharic-news-category-classification
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  * **summarization** : using the headlines
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  ## Finetuning
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+ Here is a github repo that contains three notebooks that use this dataset to finetune the following models
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+
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+ * [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) : a multilingual transformer model with 280M parameters
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+ * [bert-small-amharic](https://huggingface.co/rasyosef/bert-small-amharic) : a new amharic version of the bert-small transformer model with 25.7M parameters, pretrained from scratch using unlabelled amharic text data
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+ * [bert-mini-amharic](https://huggingface.co/rasyosef/bert-mini-amharic) : a new amharic version of the bert-mini transformer model with 9.67M parameters, pretrained from scratch using unlabelled amharic text data
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  https://github.com/rasyosef/amharic-news-category-classification
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