feature(frameworks): bentoml.onnx runner accept kwargs

[larme]

What does this PR address?

Sometimes it's more nature to call onnx model with keyword arguments. For example, bert's tokenizer will output a dictionary, which the original model will call with model(**input). Our runner should simulate this behavior

Fixes #(issue)

Before submitting:

• [ ] Does the Pull Request follow Conventional Commits specification naming? Here are GitHub's guide on how to create a pull request.
• [ ] Does the code follow BentoML's code style, both make format and make lint script have passed (instructions)?
• [ ] Did you read through contribution guidelines and follow development guidelines?
• [ ] Did your changes require updates to the documentation? Have you updated those accordingly? Here are documentation guidelines and tips on writting docs.
• [ ] Did you write tests to cover your changes?

[codecov[bot]]

Codecov Report

Merging #3561 (607ec46) into main (afe9660) will not change coverage. The diff coverage is 0.00%.

@@          Coverage Diff          @@
##            main   #3561   +/-   ##
=====================================
  Coverage   0.00%   0.00%           
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  Files        154     154           
  Lines      12620   12632   +12     
=====================================
- Misses     12620   12632   +12     

Impacted Files	Coverage Δ
src/bentoml/_internal/frameworks/onnx.py	0.00% <0.00%> (ø)

[aarnphm]

cc @larme, I ran the test locally, it passed, but it still didn't run on CI. can you also fix it as well?

[larme]

@aarnphm Now the tests run on CI. The problem is that the new bert tests will missing the pytorch dependencies (I thought installing transformers will install torch by default, I was wrong).

[sauyon]

@larme @aarnphm what's the status of this one?

[aarnphm]

This has been on this list for a while now @larme we should circle back and get this one merge