
Rishika J.
"BERT: A question answering model by PyTorch"
What do you like best about BERT Base Multilingual Uncased PyTorch Hub Extractive Question Answering?
One of the best parts about this particular PyTorch transformer is its support for more than 100 languages. BERT is integrated with the most efficient neural networks, training objectives, and transfer learning. It is a pre-trained model with highly accurate tuning trained on different datasets available like SQUAD. It answers the questions concisely and even helps in other use cases like highlighting paragraphs with crucial entry points when a question is asked. Review collected by and hosted on G2.com.
What do you dislike about BERT Base Multilingual Uncased PyTorch Hub Extractive Question Answering?
The accuracy and the vast support for large datasets for different languages make BERT Base Multilingual Uncased PyTorch Hub Extractive Question Answering an expensive model. Due to the large dataset, this model is a bit slow to train, requires updating a lot of weights, and takes more computation time. Review collected by and hosted on G2.com.
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Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.