feat: Add trust_remote_code init param to SentenceTransformer embedders

[vblagoje]

Why:

This change introduces a new parameter trust_remote_code in various classes of the Sentence Transformers embedder component. This parameter allows users to enable or disable the use of unverified model architectures, providing more flexibility in model selection.

What:

• The trust_remote_code parameter is added to the __init__ method in _SentenceTransformersEmbeddingBackend, SentenceTransformersDocumentEmbedder, and SentenceTransformersTextEmbedder.
• The get_embedding_backend method in _SentenceTransformersEmbeddingBackendFactory now accepts trust_remote_code as a parameter.
• The warm_up method in both SentenceTransformersDocumentEmbedder and SentenceTransformersTextEmbedder now accepts trust_remote_code.
• Test files are updated to include testing for the new trust_remote_code parameter.

How can it be used:

• Users can now choose to allow unverified model architectures by setting trust_remote_code to True when initializing the Sentence Transformers embedder component.
• This feature is useful when working with custom models or scripts not officially verified by HuggingFace.

How did you test it:

• Unit tests for the __init__ methods in _SentenceTransformersEmbeddingBackend, SentenceTransformersDocumentEmbedder, and SentenceTransformersTextEmbedder ensure that the trust_remote_code parameter is correctly passed and saved during initialization.
• Unit tests for the get_embedding_backend method in _SentenceTransformersEmbeddingBackendFactory check that the method accepts the trust_remote_code parameter and correctly passes it to the SentenceTransformer constructor.
• Unit tests for the warm_up method in both SentenceTransformersDocumentEmbedder and SentenceTransformersTextEmbedder ensure that the method accepts the trust_remote_code parameter and correctly passes it to the _SentenceTransformersEmbeddingBackendFactory.get_embedding_backend method.

Notes for the reviewer:

• This change affects various classes of the Sentence Transformers embedder component, so please ensure that all changes are consistent and correct.
• The trust_remote_code parameter is specifically designed to handle custom models or scripts not officially verified by HuggingFace. If you find any issues with this feature or have suggestions for improvement, please let us know.

[vblagoje]

@anakin87 verified in an actual example we talked about 🚀 Let's see what CI says
@julian-risch I removed you as a reviewer and asked Stefano to review because he has all the context already and knows this code well

[coveralls]

Pull Request Test Coverage Report for Build 8270286697

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• 4 unchanged lines in 2 files lost coverage.
• Overall coverage increased (+0.003%) to 89.164%

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Files with Coverage Reduction	New Missed Lines	%
components/embedders/sentence_transformers_document_embedder.py	2	95.65%
components/embedders/sentence_transformers_text_embedder.py	2	94.74%

Totals
Change from base Build 8268196727:	0.003%
Covered Lines:	5324
Relevant Lines:	5971

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💛 - Coveralls

[vblagoje]

@anakin87 that should be it - I think, have another look please

[anakin87]

I left a comment.
Apart from that, this PR is ready to go!

[anakin87]

Please also update this.

[vblagoje]

Done with 2bad887