the working example code to use BertForQuestionAnswering 
so we can use the pre-trained and fine-tuned on SQUAD Bert model to get an answer from a text and a question, similar to the way the CoreML model BERTSQUADFP16.mlmodel is used in the iOS example [Finding Answers to Questions in a Text Document](https://developer.apple.com/documentation/coreml/finding_answers_to_questions_in_a_text_document)
# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/1502?src=pr&el=h1) Report
> Merging [#1502](https://codecov.io/gh/huggingface/transformers/pull/1502?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a701c9b32126f1e6974d9fcb3a5c3700527d8559?src=pr&el=desc) will **increase** coverage by `<.01%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/huggingface/transformers/pull/1502/graphs/tree.svg?width=650&token=9qOlN6Hb1c&height=150&src=pr)](https://codecov.io/gh/huggingface/transformers/pull/1502?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master    #1502      +/-   ##
==========================================
+ Coverage   85.98%   85.98%   +<.01%     
==========================================
  Files          91       91              
  Lines       13579    13574       -5     
==========================================
- Hits        11676    11672       -4     
+ Misses       1903     1902       -1
```


| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/1502?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [transformers/modeling\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/1502/diff?src=pr&el=tree#diff-dHJhbnNmb3JtZXJzL21vZGVsaW5nX2JlcnQucHk=) | `88.17% <ø> (ø)` | :arrow_up: |
| [transformers/tests/modeling\_tf\_common\_test.py](https://codecov.io/gh/huggingface/transformers/pull/1502/diff?src=pr&el=tree#diff-dHJhbnNmb3JtZXJzL3Rlc3RzL21vZGVsaW5nX3RmX2NvbW1vbl90ZXN0LnB5) | `94.79% <0%> (-1.74%)` | :arrow_down: |
| [transformers/modeling\_tf\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/1502/diff?src=pr&el=tree#diff-dHJhbnNmb3JtZXJzL21vZGVsaW5nX3RmX2F1dG8ucHk=) | `53.33% <0%> (+2.08%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/1502?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/1502?src=pr&el=footer). Last update [a701c9b...e76d715](https://codecov.io/gh/huggingface/transformers/pull/1502?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
<|||||>Nice, thanks!