Bring the module into a state of readiness for release

[tsmith023]

To achieve a wide release for users to plug into their embedding pipelines, this module should achieve the following features:

• An async HTTP/1.1 server using the axum routing and tokio async crates
• A multi-threaded backend for massively parallel inference using the rayon crate
• A interlink between axum-tokio and rayon using the tokio-rayon crate
• Support for transformer models sourced from HuggingFace running on CPU using ORT through the OnnxBert struct
• Support for transformer models sourced from HuggingFace running on GPU using CUDA through the CandleBert struct
• A pipeline that builds separate images for CPU and GPU support due to compiled nature of rust:
  Setup CICD to build and push images to Dockerhub #2
• Built and published images for the following embedding models:
  • BAAI/bge-large-en-v1.5 and BAAI/bge-small-en-v1.5
  • sentence-transformers/all-MiniLM-L6-v2
  • sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2, no onnx/model.onnx dir on HFhub
  • Snowflake/snowflake-arctic-embed-l and Snowflake/snowflake-arctic-embed-s
  • mixedbread-ai/mxbai-embed-large-v1