Text Generation
Transformers
PyTorch
Japanese
llama
text-generation-inference
Inference Endpoints
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@@ -8,6 +8,7 @@ We trained on equal samples of the following three datasets:
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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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  # How to use
 
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  which resulted in a dataset of 13167 samples total.
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+ These three datasets were chosen as they represent three distinct fine-tuning tasks (Text simplification, question answering, and text summarization, respectively) which we hypothesize can help to improve the language models suitability for dealing with Japanese data.
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  These three datasets make up the model name: STX.
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  # How to use