Add Examples to All HuggingFace Models

[AlexCatarino]

If we add examples to all Hugging Face models, we will help members to use them without struggling with the model's documentation. We need to add them in 03 Writing Algorithms\31 Machine Learning\04 Hugging Face\02 Popular Models using the models in table Resources\machine-learning\hugging-face-table.html

[nguymin-theonlyone]

Hello, I agree that including more use cases would be very valuable. For example, a HuggingFace model could be used to generate forecasts from recent market features, which could then help determine the appropriate exposure for sizing a SPY position. I believe it’s important to first assess whether HuggingFace models truly outperform traditional time series analysis methods that are specifically designed for time series data. There might be research or papers on this topic that I’m not yet familiar with, and exploring those could provide useful insights.

[AlexCatarino]

Examples for Moirai, MOMENT, and Granite TTM cannot be included in this PR because they require Python packages (uni2ts, momentfm, tsfm_public) that are not pre-installed in the QC Cloud backtest environment and cannot be installed at runtime.

A library upgrade request has been opened at QuantConnect/Lean#9340. Once those packages are available, the examples for these models can be added.

The remaining models in the table (Sentiment Analysis, Fill-Mask, Text Generation, Chronos-Bolt, FinBERT, DistilBERT, Chronos-T5) all have working examples in PR #2247.