[Task] - Incorporate embeddings (pre-trained and encoder-based) into Merlin Training and Inference

Problem:

Two+ customer teams would like to leverage encoder-based embeddings as additional features in Transformers4Rec. Currently, there is no clear example/path to pass in extra embeddings. This gap in feature prevents teams from adopting Transformers4Rec in production.

Goal:

• Produce a comprehensive example on how to incorporate embeddings as extra features into Transformers4Rec. Embeddings may be stored in parquet format. Generalizations should be made where possible in examples, especially on defining the schema and other input parameters.

Constraints:

• Embeddings may be stored in parquet files
• Workflow should be able to be deployed in Triton

Starting Point: