feat (v2): Update so model_max_length updates max_seq_length for Sentence Transformers

[sjrl]

Related Issues

• fixes #issue-number

Proposed Changes:

This brings a change we had in v1 that updates the Sentence Transformer specific variable max_seq_length that allows us to change the max sequence length. Previously we though using model_max_length through tokenizer_kwargs would fix this, but a recent inveistgation from @bglearning shows it does not. So we make an update here such that model_max_length updates the value of max_seq_length.

How did you test it?

Notes for the reviewer

Checklist

• I have read the contributors guidelines and the code of conduct
• I have updated the related issue with new insights and changes
• I added unit tests and updated the docstrings
• I've used one of the conventional commit types for my PR title: fix:, feat:, build:, chore:, ci:, docs:, style:, refactor:, perf:, test:.
• I documented my code
• I ran pre-commit hooks and fixed any issue

[coveralls]

Pull Request Test Coverage Report for Build 10723664490

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• 2 unchanged lines in 2 files lost coverage.
• Overall coverage increased (+0.005%) to 90.221%

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Files with Coverage Reduction	New Missed Lines	%
components/embedders/sentence_transformers_document_embedder.py	1	96.67%
components/embedders/sentence_transformers_text_embedder.py	1	96.15%

Totals
Change from base Build 10705409434:	0.005%
Covered Lines:	7021
Relevant Lines:	7782

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💛 - Coveralls