Mihakram
/

AraT5-base-question-generation

Text2Text Generation

answer-aware-question-generation

question-generation

text-generation-inference

Inference Endpoints

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Mihakram commited on Oct 9, 2022

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ee03483

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1 Parent(s): b67ac95

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@@ -56,8 +56,8 @@ Get the Question from given Context and a Answer : [Arabic QG Model](https://hug
 #Requirements !pip install transformers
 from transformers import AutoTokenizer,AutoModelForSeq2SeqLM
-model = AutoModelForSeq2SeqLM.from_pretrained("Mihakram/Arabic_Question_Generation")
-tokenizer = AutoTokenizer.from_pretrained("Mihakram/Arabic_Question_Generation")
 def get_question(context,answer):
   text="context: " +context + " " + "answer: " + answer + " </s>"

 #Requirements !pip install transformers
 from transformers import AutoTokenizer,AutoModelForSeq2SeqLM
+model = AutoModelForSeq2SeqLM.from_pretrained("Mihakram/AraT5-base-question-generation")
+tokenizer = AutoTokenizer.from_pretrained("Mihakram/AraT5-base-question-generation")
 def get_question(context,answer):
   text="context: " +context + " " + "answer: " + answer + " </s>"