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@@ -13,13 +13,12 @@ This is a basic implementation of the multilingual model ["ixambert-base-cased"]
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  ### Outputs
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- The model predicts a span of text from the context and a score for the probability for that span 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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-
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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: