Text Generation
Transformers
PyTorch
Japanese
llama
text-generation-inference
Inference Endpoints
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@@ -5,6 +5,7 @@ We trained on equal samples of the following three datasets:
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  * [SNOW](https://huggingface.co/datasets/snow_simplified_japanese_corpus)
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  * [TyDiQA (Ja)](https://huggingface.co/datasets/khalidalt/tydiqa-goldp)
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  * [XLSUM (Ja)](https://huggingface.co/datasets/csebuetnlp/xlsum)
 
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  which resulted in a dataset of 13167 samples total.
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  These three datasets make up the model name: STX.
 
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  * [SNOW](https://huggingface.co/datasets/snow_simplified_japanese_corpus)
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  * [TyDiQA (Ja)](https://huggingface.co/datasets/khalidalt/tydiqa-goldp)
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  * [XLSUM (Ja)](https://huggingface.co/datasets/csebuetnlp/xlsum)
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  which resulted in a dataset of 13167 samples total.
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  These three datasets make up the model name: STX.