#222 Load Model Without Predict

[adaem2]

Link to any related issues, companion PRs, or blockers. eg, Fixes #37
#222

Overview

A user is able to access the loaded model from S3 by calling model.model.

Discussion

Any additional context that you think is important for reviewers or future users/contributors looking at this PR.
The issue originated from issue #200. Currently cannot replicate loading the model locally due to issues in dependencies with the required pyyaml version of ml-mast and cython.
yaml/pyyaml#724
yaml/pyyaml#728

Testing

Testing it through a pipeline as well as by trying to create a _Model object through the Model function and a registered model's name. In testing just obtaining the model, you need to obtain a presigned_url_response with client.backend_client.get_model_download_urls([model's name])

Documentation

Does this PR update any docs pages? Should it?

---

📚 Documentation preview 📚: https://garden-ai--239.org.readthedocs.build/en/239/

[codecov-commenter]

Codecov Report

Merging #239 (b17856f) into main (997fbbf) will increase coverage by 0.65%.
Report is 2 commits behind head on main.
The diff coverage is 100.00%.

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@@            Coverage Diff             @@
##             main     #239      +/-   ##
==========================================
+ Coverage   77.83%   78.48%   +0.65%     
==========================================
  Files          46       46              
  Lines        3113     3124      +11     
==========================================
+ Hits         2423     2452      +29     
+ Misses        690      672      -18     

Files Changed	Coverage Δ
garden_ai/_model.py	48.05% <100.00%> (+26.43%)	⬆️
tests/test_mlmodel.py	100.00% <100.00%> (ø)

[WillEngler]

This looks great, no notes.