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xlm-roberta-khmer-small

Inference Endpoints

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seanghay commited on Jul 22

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@@ -15,7 +15,7 @@ Training data is created by crawling publicly available publicly news sites and
 ## Why?
-1. [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) is big. (279M paramerters, while this is only 49M parameters).
 2. [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) is not optimized for Khmer language.
 3. [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) Vocab size is bigger (250,002) and this model uses 8000 vocab size.

 ## Why?
+1. [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) is big. (279M parameters, while this is only 49M parameters).
 2. [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) is not optimized for Khmer language.
 3. [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) Vocab size is bigger (250,002) and this model uses 8000 vocab size.