Feat/patch tst fm model

[dennisbader]

Checklist before merging this PR:

• Mentioned all issues that this PR fixes or addresses.
• Summarized the updates of this PR under Summary.
• Added an entry under Unreleased in the Changelog.

Fixes #3060.

Summary

• Adds new forecasting model PatchTSTFMModel : IBM's pre-trained ~260M-parameter foundational model for zero-shot forecasting. It supports univariate, multivariate, and multiple time series forecasting without training and can output deterministic or probabilistic forecasts.
• based on the implementation in ibm-granite/granite-tsfm
• by default uses model card ibm-granite/granite-timeseries-patchtst-fm-r1 (license: Apache 2.0) but also supports other cards such as ibm-research/patchtst-fm-r1 (license: non-commercial).
• supports 99 quantiles (0.01, 0.02, ..., 0.99)

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.36%. Comparing base (cfdc2f7) to head (03b8ee8).

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #3120      +/-   ##
==========================================
+ Coverage   96.31%   96.36%   +0.05%     
==========================================
  Files         161      161              
  Lines       17356    17273      -83     
==========================================
- Hits        16716    16645      -71     
+ Misses        640      628      -12     

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[daidahao]

Thanks a lot @dennisbader 🔥

The PR looks great already and I could provide some review in the coming days if you need.

Also cc:@wgifford in case of any IBM-side comments.