Metas MMS speech recognition 
### Model description

In their Blogpost they are writing it's 1B sized wav2vec 2 models, so only a new converter script should be needed?

A nice alternative to compare to whisper

### Open source status

- [ ] The model implementation is available
- [ ] The model weights are available

### Provide useful links for the implementation

https://github.com/facebookresearch/fairseq/tree/main/examples/mms

@sanchit-gandhi 
@patrickvonplaten FYI
Interested Model!! Thank @flozi00 to open request.<|||||>👀 https://huggingface.co/models?other=mms<|||||>> :eyes:  https://huggingface.co/models?other=mms

Nice! This is the pretrained model. 
I am looking to also convert the ASR models; any pointers? 

The scripts I am looking at (such as [this very useful boi](https://huggingface.co/HfSpeechUtils/convert_wav2vec2_to_hf/blob/main/run_convert.sh)) require dict and HF config but maybe it is the same configuration as `facebook/wav2vec2-large` :thinking: <|||||>Leeez go - working on the conversion as we speak :-) <|||||>I also made a request in _#23811_. Looking forward to it!<|||||>PR merged.

Also see:
- https://huggingface.co/docs/transformers/main/en/model_doc/mms
- https://github.com/huggingface/transformers/pull/23813
- https://huggingface.co/facebook/mms-1b-all