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@@ -26,4 +26,15 @@ Preparing steps can reproduce at https://github.com/huseinzol05/malaya/tree/mast
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  ## Pretraining details
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  - This model was trained using Google T5 repository https://github.com/google-research/text-to-text-transfer-transformer, on v3-8 TPU.
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- - All steps can reproduce from here, https://github.com/huseinzol05/Malaya/tree/master/pretrained-model/t5
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Pretraining details
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  - This model was trained using Google T5 repository https://github.com/google-research/text-to-text-transfer-transformer, on v3-8 TPU.
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+ - All steps can reproduce from here, https://github.com/huseinzol05/Malaya/tree/master/pretrained-model/t5
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+
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+ ## Supported prefix
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+
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+ 1. `soalan: {string}`, trained using Natural QA.
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+ 2. `ringkasan: {string}`, for abstractive summarization.
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+ 3. `tajuk: {string}`, for abstractive title.
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+ 4. `parafrasa: {string}`, for abstractive paraphrase.
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+ 5. `terjemah Inggeris ke Melayu: {string}`, for EN-MS translation.
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+ 6. `terjemah Melayu ke Inggeris: {string}`, for MS-EN translation.
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+ 7. `grafik pengetahuan: {string}`, for MS text to EN Knowledge Graph triples format.
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+ 8. `ayat1: {string1} ayat2: {string2}`, semantic similarity.