MarkS
/

bart-base-qa2d

Text2Text Generation

Inference Endpoints

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MarkS commited on Apr 21, 2022

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08a9754

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1 Parent(s): 775cfba

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@@ -66,8 +66,8 @@ To sum up,my model performs nearly as well as the SOTA rule-based model evaluate
 ```python
 from transformers import BartTokenizer, BartForConditionalGeneration
-tokenizer = BartTokenizer.from_pretrained("MarkS/QA2D")
-model = BartForConditionalGeneration.from_pretrained("MarkS/QA2D")
 input_text = "question: what day is it today? answer: Tuesday"
 input = tokenizer(input_text, return_tensors='pt')

 ```python
 from transformers import BartTokenizer, BartForConditionalGeneration
+tokenizer = BartTokenizer.from_pretrained("MarkS/bart-base-qa2d")
+model = BartForConditionalGeneration.from_pretrained("MarkS/bart-base-qa2d")
 input_text = "question: what day is it today? answer: Tuesday"
 input = tokenizer(input_text, return_tensors='pt')