'hf_xet' package is not installed

[bmerkle]

Describe the bug
When using the getting started sample from https://github.com/microsoft/Olive#-getting-started I get the warning

Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: pip install huggingface_hub[hf_xet]orpip install hf_xet

It would be useful to have this package installed by default IMO.
I could contribute a PR.

To Reproduce

(venv) C:\work\microsoft\Olive>olive optimize --model_name_or_path Qwen/Qwen2.5-0.5B-Instruct  --precision int4 --output_path models/qwen
Loading HuggingFace model from Qwen/Qwen2.5-0.5B-Instruct
config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 659/659 [00:00<?, ?B/s]
C:\work\microsoft\Olive\venv\Lib\site-packages\huggingface_hub\file_download.py:143: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\merklbe1\.cache\huggingface\hub\models--Qwen--Qwen2.5-0.5B-Instruct. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
  warnings.warn(message)
`torch_dtype` is deprecated! Use `dtype` instead!
`torch_dtype` is deprecated! Use `dtype` instead!
Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`

Expected behavior
I would expect to get no warning or no missing package with the default configuration.

Olive config
Add Olive configurations here.

Olive logs
Add logs here.

Other information

• OS: [e.g. Windows, Linux]
• Olive version: [e.g. 0.4.0 or main]
• ONNXRuntime package and version: [e.g. onnxruntime-gpu: 1.16.1]
• Transformers package version: [e.g. transformers 4.44.1]

Additional context
Add any other context about the problem here.

[bmerkle]

I checked the repo and would need some opinion of developers where to put the fix:
there are 2 places:

1. requirements.txt contains the base dependencies that are always installed
2. olive/olive_config.json contains extra_dependencies for optional features that users can install as needed (like pip install olive-ai[gpu], pip install olive-ai[lora], etc.)

Since the warning occurs during the getting started example (a basic use case), and hf_xet improves download performance from HuggingFace for models with Xet Storage, it makes sense to add it as a base dependency in requirements.txt.

Proposed change:
Add hf_xet to the requirements.txt