paust
/

pko-t5-large

Text2Text Generation

text-generation-inference

Inference Endpoints

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dennispark commited on May 21, 2022

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@@ -23,7 +23,7 @@ from transformers import T5TokenizerFast, T5ForConditionalGeneration
 tokenizer = T5TokenizerFast.from_pretrained('paust/pko-t5-large')
 model = T5ForConditionalGeneration.from_pretrained('paust/pko-t5-large')
-input_ids = tokenizer(["nsmc sentence: 당신의 이름은 무엇인가요?"]).input_ids
 labels = tokenizer(["T5 입니다."]).input_ids
 outputs = model(input_ids=input_ids, labels=labels)

 tokenizer = T5TokenizerFast.from_pretrained('paust/pko-t5-large')
 model = T5ForConditionalGeneration.from_pretrained('paust/pko-t5-large')
+input_ids = tokenizer(["qa question: 당신의 이름은 무엇인가요?"]).input_ids
 labels = tokenizer(["T5 입니다."]).input_ids
 outputs = model(input_ids=input_ids, labels=labels)