HomeModelsQuestion Answeringankur310794/bert-large-uncased-nq-small-answer
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ankur310794/bert-large-uncased-nq-small-answer

Question Answering·ankur310794· 264
transformers Question Answering dataset:natural_questionsregion:us

Open Domain Question Answering A core goal in artificial intelligence is to build systems that can read the web, and then answer complex questions about any topic. These question-answering (QA) systems could have a big impact on the way that we access information. Furthermore, open-domain question answering is a benchmark task in the development of Artificial Intelligence, since understanding text

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# pull & run locally
pip install mlforge-sdk && mlforge pull ankur310794/bert-large-uncased-nq-small-answer

Model details

Task
Question Answering
Provider
ankur310794
Framework
transformers
Size
1.2 GB
Downloads
264
Updated
2021-05-19

About ankur310794/bert-large-uncased-nq-small-answer

Open Domain Question Answering A core goal in artificial intelligence is to build systems that can read the web, and then answer complex questions about any topic. These question-answering (QA) systems could have a big impact on the way that we access information. Furthermore, open-domain question answering is a benchmark task in the development of Artificial Intelligence, since understanding text and being able to answer questions about it is something that we generally associate with intelligence.

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