artitw/BERT_QA
Accelerating the development of question-answering systems based on BERT and TF 2.0
This tool helps machine learning engineers and data scientists quickly build and deploy question-answering systems. You provide text documents and a set of questions, and it outputs precise answers extracted directly from the text. It's designed for those who need to create systems that can understand and respond to user queries based on provided knowledge bases.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or data scientist looking to rapidly develop a question-answering system using state-of-the-art BERT models.
Not ideal if you need a pre-packaged, ready-to-use question-answering application without any coding or model development.
Stars
20
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 01, 2020
Commits (30d)
0
Dependencies
4
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