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Get Started with Deepset/Bert Large Uncased Whole Word Masking Squad2

BERT model for question answering tasks with high accuracy on SQuAD 2.0 dataset.

Getting Started

1

Read the official documentation

The Deepset/Bert Large Uncased Whole Word Masking Squad2 team maintains comprehensive docs that cover installation, configuration, and common patterns.

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2

Create an account

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3

Review strengths, tradeoffs, and alternatives

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Best For

Projects requiring high accuracy in extracting answers from text data, especially for complex queries.

Applications that need to handle out-of-scope questions gracefully and provide no-answer predictions.

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