Release/553 release candidate

[maziyarpanahi]

This pull request includes several changes to the BGEEmbeddings class in the python/sparknlp module and various Scala classes in the com.johnsnowlabs.ml.ai package. The most significant changes involve adding a new property to handle CLS token usage, modifying methods to support this new property, and cleaning up code formatting.

Enhancements to BGEEmbeddings:

• Added HasClsTokenProperties to the BGEEmbeddings class and updated the __init__ method to include the useCLSToken parameter. (python/sparknlp/annotator/embeddings/bge_embeddings.py) [1] [2] [3]
• Updated the pretrained method to use a new default model name bge_small_en_v1.5. (python/sparknlp/annotator/embeddings/bge_embeddings.py)

New property class:

• Introduced HasClsTokenProperties class with methods to set and get the useCLSToken parameter. (python/sparknlp/common/properties.py)

Scala class updates:

• Modified the BGE class to support the useCLSToken parameter in methods for sentence embedding computation, including handling different pooling strategies based on this parameter. (src/main/scala/com/johnsnowlabs/ml/ai/BGE.scala) [1] [2] [3] [4]
• Cleaned up code formatting in Albert and Bart classes by removing unnecessary blank lines and improving code readability. (src/main/scala/com/johnsnowlabs/ml/ai/Albert.scala, src/main/scala/com/johnsnowlabs/ml/ai/Bart.scala) [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]

These changes enhance the functionality and maintainability of the codebase by introducing new features and improving code clarity.