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README.md
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### Outputs
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The model
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```python
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{'score': 0.9667195081710815, 'start': 101, 'end': 105, 'answer': '1820'}
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```
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### How to use
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The model can be used directly with a *question-answering* pipeline:
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### Outputs
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The model outputs the answer to the question, the start and end positions of the answer in the original context, and a score for the probability for that span of text to be the correct answer. For example:
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```python
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{'score': 0.9667195081710815, 'start': 101, 'end': 105, 'answer': '1820'}
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```
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### How to use
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The model can be used directly with a *question-answering* pipeline:
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