fix(integrations): correct typo in ClearMLCallback config overrides variable.
Author: leaderofARS
Pull request: yes

 What does this PR do? 

 This PR addresses two minor issues:

 1. ClearMLCallback Typo: Corrects a minor spelling typo in the  ClearMLCallback  implementation by renaming  _ignoge_model_config_overrides  to  
 _ignore_model_config_overrides  and updating its usage.
2. HiggsAudioV2 Size Mismatch: Adds a size-safe check for  masked_scatter  in  HiggsAudioV2Model  to handle cases where the source tensor has fewer elements than required by the mask (which occurs during random generation tests), preventing size mismatch  RuntimeError  crashes.

 ## Code Agent Policy

 [✓] I confirm that this is not a pure code agent PR.

 ## Before submitting

[✓] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
[✓] Did you read the contributor guideline CONTRIBUTING.md https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request, Pull Request section?
 [ ] Was this discussed/approved via a Github issue or the forum https://discuss.huggingface.co/? Please add a link to it if that's the case.
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and here are tips on formatting docstrings 
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 [ ] Did you write any new necessary tests?

  ## Who can review?

  CC:

  •  @SunMarc  (Trainer / Integrations reviewer)
  •  @eustlb  (Audio models / HiggsAudio reviewer)

Comments:
Which tests were flaky because of the HiggsAudioV2 issue?

> Which tests were flaky because of the HiggsAudioV2 issue?

 The main one is  test_greedy_generate_dict_outputs  (and potentially  test_greedy_generate_dict_outputs_use_cache ).                                       
                                                                                                                                                             
  The issue is that these tests use a randomly initialized model. Because the weights are random, the model occasionally predicts one of the special placeholder tokens ( audio_token_id  or  audio_delay_token_id ) during greedy decoding.                                                                    
                                                                                                                                                             
  In the next generation step, the model sees those placeholders in the generated sequence and tries to insert audio embeddings for them using masked_scatter . But since those placeholders were generated on the fly and don't actually have corresponding prompt audio inputs, the source tensor is too small, crashing the test with  RuntimeError: Number of elements of source < number of ones in mask .

Hi @eustlb, just wanted to kindly follow up on this PR whenever you have some time. @SunMarc mentioned the ClearML part looks good and suggested getting your input on the HiggsAudioV2 changes.

I've explained the reasoning behind the fix in the thread, but I'm happy to provide any additional context or make changes if needed. Thanks for taking a look!

**[For maintainers]** Suggested jobs to run (before merge)

run-slow: higgs_audio_v2