Added BGE Embeddings

[dcecchini]

Description

Created Scala and Python classes for the BGE Embeddings models.

Motivation and Context

Spark NLP currently supports BGE embeddings but didn't have a specific class to store and work with those models. The current approach is to load the models as BertEmbeddings, which loads the sentence embeddings model, BGE, as word embeddings. To load the model as sentence embeddings, I added a new class based on the current E5 embeddings annotator.

How Has This Been Tested?

The code has not been tested, as I don't have a Scala environment set yet.

Screenshots (if appropriate):

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• Code improvements with no or little impact
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)

Checklist:

• My code follows the code style of this project.
• My change requires a change to the documentation.
• I have updated the documentation accordingly.
• I have read the CONTRIBUTING page.
• I have added tests to cover my changes.
• All new and existing tests passed.