fix: multilingual midel convert to tflite get wrong token
Author: Ayaa17
Pull request: yes

# What does this PR do?
when using multilingual whisper model and covert to tflite for end device use, always get wrong token.
Like this: this sample is voice transcription to chinese(zh)
```
ds = ds: {'audio': {'path': '/root/.cache/huggingface/datasets/downloads/extracted/81aac54528c46189de3348c82aaf37cfa33d9b1d3110a
f647d92b9e97280889d/zh-TW_dev_0/common_voice_zh-TW_17383559.mp3', 'sampling_rate': 16000}, 'sentence': '二話不說拉住她的手往回走',  'locale': 'zh-TW'}

before convert that  is work!
Tensorflow Transcription: 而話不說拉住他的手往回憶住

but after convert to tflite get wrong->
tflite transcription: : !!!

get token : generated_ids: [[50258 50260     0     0     0 50257 50257 ...... 50257 50257 ]]

```

It seem like ``TFForceTokensLogitsProcessor`` _force_token this function may happen overflow when converted
```
            new_scores = tf.ones_like(scores, dtype=scores.dtype) * -float("inf")
```
So change the way that new_scores retains the most negative values to avoid it
```
            new_scores = tf.zeros_like(scores, dtype=scores.dtype) + tf.constant([scores.dtype.min])
```

result:
```
# after fixed result
tflite transcription: 而話不說拉住她的手往回頭
```

convert model sample code can ref [this](https://github.com/Ayaa17/transformers/tree/fix_TFLogitsProcessor_demo_code/src/example)


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## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.
@gante   @Rocketknight1

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Comments:
cc @Rocketknight1 @gante 

Just a friendly reminder about PR review. If you have time, could you please take a look and provide any feedback, or if everything looks good, approve it? If you have any questions or need to make changes, please let me know.

Thank you so much!

@Ayaa17 Ci is red because a test needs to be updated accordingly: `tests/generation/test_tf_logits_process.py::TFLogitsProcessorTest::test_force_tokens_logits_processor`

In a nutshell, instead of checking that the intended values are `-inf`, we now need to check that they are a very large negative value :)

@gante I've understood the reason for the CI failure. Is there anything I need to help or should I wait for ``test_force_tokens_logits_processor`` to be modified the checking value?

thx a lot!

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.

@Ayaa17 please go ahead and modify `test_force_tokens_logits_processor` with the new values (the values that are the result of your change) 🤗  

@gante , I have resolved the CI issue. Could you please review the changes again?
Thank you very much!