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Update question_answering.md (#28694)

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fix typo:

from:

 "model = TFAutoModelForQuestionAnswering("distilbert-base-uncased")"

to:
model = TFAutoModelForQuestionAnswering.from_pretrained("distilbert-base-uncased")
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docs/source/en/tasks/question_answering.md
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@ -271,7 +271,7 @@ Then you can load DistilBERT with [`TFAutoModelForQuestionAnswering`]:
```py
>>> from transformers import TFAutoModelForQuestionAnswering
>>> model = TFAutoModelForQuestionAnswering("distilbert-base-uncased")
>>> model = TFAutoModelForQuestionAnswering.from_pretrained("distilbert-base-uncased")
```
Convert your datasets to the `tf.data.Dataset` format with [`~transformers.TFPreTrainedModel.prepare_tf_dataset`]: