--- title: RoBERTa Base PyTorch Hub Extractive Question Answering Reviews meta\_title: 'RoBERTa Base PyTorch Hub Extractive Question Answering Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter reviews by the users' company size, role or industry to find out how RoBERTa Base PyTorch Hub Extractive Question Answering works for a business like yours. date\_modified: '2025-05-15' parent\_category: name: Marketplace Apps url: https://www.g2.com/categories/marketplace-apps ---

# RoBERTa Base PyTorch Hub Extractive Question Answering Reviews & Product Details

This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface\_pytorch-transformers/ ). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings.

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Discussions
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