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Project 3: Question Answering using BERT | Bidirectional Encoder Representation from Transformers 

IG Tech Team
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11 сен 2024

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Комментарии : 14   
@sanjaysapkota2376
@sanjaysapkota2376 3 года назад
Thanks for this project sir. Super video 🤠 😊
@ramneupane2457
@ramneupane2457 3 года назад
Wow another project, thanks sir and very nice
@rameshbiswokarma6007
@rameshbiswokarma6007 3 года назад
ramro xa sir. thank u very much
@urAnkit30
@urAnkit30 3 года назад
Awesome video sir❤️❤️
@ajayaryal7833
@ajayaryal7833 3 года назад
You are legend😊
@madanpaudel5947
@madanpaudel5947 3 года назад
Loved it 👍
@vijanchhetri1115
@vijanchhetri1115 3 года назад
This is really awesome project 👍
@aliyuolubunmi6573
@aliyuolubunmi6573 3 года назад
I really enjoy your video. your explanation is clear.
@sandeepanand3834
@sandeepanand3834 Год назад
How to train and / or run pre-trained model for MCQ task
@kishanpandey8908
@kishanpandey8908 Год назад
How to create offline form for the project pl guide
@abhishekprakash9803
@abhishekprakash9803 2 года назад
i have a one question..........its reply answers in only one senetences.....if we want answers more than one senetences.....how wil do that........like we have a long passages....related to database. i asked question what is databse ....i want answers not in single senetences.....i want more than one sentences
@jithinreddy5932
@jithinreddy5932 Год назад
Hi is there any way to ask questions without giving context each and every time, insted simply uploading dataset of contexts
@prajaktasolankar8957
@prajaktasolankar8957 Год назад
same Question I have.
@141habiburrehman4
@141habiburrehman4 2 года назад
Legends know its e speak voice
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