[Community Contributions] examples on distributed inference using 🤗 Accelerate

The [`inference/distributed` directory](https://github.com/huggingface/accelerate/tree/main/examples/inference/distributed) houses examples on running distributed inference with `accelerate`:

* Phi2 for language generation
* Stable Diffusion for image generation

The strategy followed there is to load an entire model onto each GPU and sending chunks of a batch through each GPU’s model copy at a time. Synthetic data generation has become an essential toolkit for every ML Engineer. So, it'd be beneficial to extend these examples to include some more use cases:

* Image captioning
* Speech data generation

Some nice to haves:

* Include artifact serialization as done in [this](https://gist.github.com/sayakpaul/cfaebd221820d7b43fae638b4dfa01ba)
* Keep the artifact serialization code under a thread to not block GPU execution

## How can you help?

You could help us contribute an example on any of the above-mentioned use cases or you can come up with your own 🤗 Help us make the art of synthetic data generation scalable, easy, and accessible.